From 99b8d48fda4762b09da9189ccd64b1e5585dddf5 Mon Sep 17 00:00:00 2001 From: Christian Date: Tue, 28 Apr 2020 22:03:11 +0200 Subject: [PATCH 01/12] Setup of gh page --- .gitignore | 7 + DESCRIPTION | 25 +- NEWS.md | 5 + _pkgdown.yml | 13 + docs/404.html | 171 ++++ docs/LICENSE-text.html | 845 ++++++++++++++++++ docs/apple-touch-icon-120x120.png | Bin 0 -> 14744 bytes docs/apple-touch-icon-152x152.png | Bin 0 -> 20344 bytes docs/apple-touch-icon-180x180.png | Bin 0 -> 25449 bytes docs/apple-touch-icon-60x60.png | Bin 0 -> 5834 bytes docs/apple-touch-icon-76x76.png | Bin 0 -> 7999 bytes docs/apple-touch-icon.png | Bin 0 -> 25449 bytes docs/articles/CARNIVAL.html | 334 +++++++ docs/articles/index.html | 170 ++++ docs/authors.html | 200 +++++ docs/bootstrap-toc.css | 60 ++ docs/bootstrap-toc.js | 159 ++++ docs/docsearch.css | 148 +++ docs/docsearch.js | 85 ++ docs/favicon-16x16.png | Bin 0 -> 1125 bytes docs/favicon-32x32.png | Bin 0 -> 2436 bytes docs/favicon.ico | Bin 0 -> 15086 bytes docs/index.html | 215 +++++ docs/link.svg | 12 + docs/logo.png | Bin 0 -> 144975 bytes docs/news/index.html | 183 ++++ docs/pkgdown.css | 367 ++++++++ docs/pkgdown.js | 108 +++ docs/pkgdown.yml | 7 + docs/reference/figures/graphical_abstract.png | Bin 0 -> 134058 bytes docs/reference/figures/logo.png | Bin 0 -> 144975 bytes docs/reference/index.html | 196 ++++ docs/reference/runCARNIVAL.html | 310 +++++++ inst/CITATION | 15 + man/figures/graphical_abstract.png | Bin 0 -> 134058 bytes man/figures/logo.png | Bin 0 -> 144975 bytes pkgdown/favicon/apple-touch-icon-120x120.png | Bin 0 -> 14744 bytes pkgdown/favicon/apple-touch-icon-152x152.png | Bin 0 -> 20344 bytes pkgdown/favicon/apple-touch-icon-180x180.png | Bin 0 -> 25449 bytes pkgdown/favicon/apple-touch-icon-60x60.png | Bin 0 -> 5834 bytes pkgdown/favicon/apple-touch-icon-76x76.png | Bin 0 -> 7999 bytes pkgdown/favicon/apple-touch-icon.png | Bin 0 -> 25449 bytes pkgdown/favicon/favicon-16x16.png | Bin 0 -> 1125 bytes pkgdown/favicon/favicon-32x32.png | Bin 0 -> 2436 bytes pkgdown/favicon/favicon.ico | Bin 0 -> 15086 bytes 45 files changed, 3629 insertions(+), 6 deletions(-) create mode 100644 .gitignore create mode 100644 NEWS.md create mode 100644 _pkgdown.yml create mode 100644 docs/404.html create mode 100644 docs/LICENSE-text.html create mode 100644 docs/apple-touch-icon-120x120.png create mode 100644 docs/apple-touch-icon-152x152.png create mode 100644 docs/apple-touch-icon-180x180.png create mode 100644 docs/apple-touch-icon-60x60.png create mode 100644 docs/apple-touch-icon-76x76.png create mode 100644 docs/apple-touch-icon.png create mode 100644 docs/articles/CARNIVAL.html create mode 100644 docs/articles/index.html create mode 100644 docs/authors.html create mode 100644 docs/bootstrap-toc.css create mode 100644 docs/bootstrap-toc.js create mode 100644 docs/docsearch.css create mode 100644 docs/docsearch.js create mode 100644 docs/favicon-16x16.png create mode 100644 docs/favicon-32x32.png create mode 100644 docs/favicon.ico create mode 100644 docs/index.html create mode 100644 docs/link.svg create mode 100644 docs/logo.png create mode 100644 docs/news/index.html create mode 100644 docs/pkgdown.css create mode 100644 docs/pkgdown.js create mode 100644 docs/pkgdown.yml create mode 100644 docs/reference/figures/graphical_abstract.png create mode 100644 docs/reference/figures/logo.png create mode 100644 docs/reference/index.html create mode 100644 docs/reference/runCARNIVAL.html create mode 100644 inst/CITATION create mode 100644 man/figures/graphical_abstract.png create mode 100644 man/figures/logo.png create mode 100644 pkgdown/favicon/apple-touch-icon-120x120.png create mode 100644 pkgdown/favicon/apple-touch-icon-152x152.png create mode 100644 pkgdown/favicon/apple-touch-icon-180x180.png create mode 100644 pkgdown/favicon/apple-touch-icon-60x60.png create mode 100644 pkgdown/favicon/apple-touch-icon-76x76.png create mode 100644 pkgdown/favicon/apple-touch-icon.png create mode 100644 pkgdown/favicon/favicon-16x16.png create mode 100644 pkgdown/favicon/favicon-32x32.png create mode 100644 pkgdown/favicon/favicon.ico diff --git a/.gitignore b/.gitignore new file mode 100644 index 00000000..a8e38348 --- /dev/null +++ b/.gitignore @@ -0,0 +1,7 @@ +.Rproj.user +.Rhistory +.RData +.Ruserdata + +*.Rproj +.Rbuildignore diff --git a/DESCRIPTION b/DESCRIPTION index d14d4562..0a81e986 100755 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,12 +1,25 @@ Package: CARNIVAL Title: A CAusal Reasoning tool for Network Identification (from gene expression data) using Integer VALue programming Version: 0.99.44 -Author: Enio Gjerga - Panuwat Trairatphisan - Anika Liu - Alberto Valdeolivas - Nikolas Peschke -Maintainer: Enio Gjerga +Authors@R: c( + person(given = "Enio", + family = "Gjerga", + role = c("cre", "aut"), + email = "enio.gjerga@gmail.com", + comment = c(ORCID = "0000-0002-3060-5786")), + person(given = "Panuwat", + family = "Trairatphisan", + role = "aut"), + person(given = "Anika", + family = "Liu", + role = "aut"), + person(given = "Alberto", + family = "Valdeolivas", + role = "aut"), + person(given = "Nikolas", + family = "Peschke", + role = "aut") + ) Description: An upgraded causal reasoning tool from Melas et al in R with updated assignments of TFs' weights from PROGENy scores. Optimization parameters can be freely adjusted and multiple solutions can be obtained and aggregated. URL: https://github.com/saezlab/CARNIVAL diff --git a/NEWS.md b/NEWS.md new file mode 100644 index 00000000..955a8169 --- /dev/null +++ b/NEWS.md @@ -0,0 +1,5 @@ +# CARNIVAL 0.99.44 +* Deployment of GitHub page + +# CARNIVAL 0.99.0 +* Initial submission to Bioconductor diff --git a/_pkgdown.yml b/_pkgdown.yml new file mode 100644 index 00000000..8d33df74 --- /dev/null +++ b/_pkgdown.yml @@ -0,0 +1,13 @@ +destination: docs +navbar: + structure: + left: [home, intro, reference, articles, tutorials, news] + right: [github, twitter, homepage] + components: + twitter: + icon: "fab fa-twitter fa-lg" + href: https://twitter.com/saezlab + homepage: + icon: "fas fa-university" + href: http://www.saezlab.org + diff --git a/docs/404.html b/docs/404.html new file mode 100644 index 00000000..19218068 --- /dev/null +++ b/docs/404.html @@ -0,0 +1,171 @@ + + + + + + + + +Page not found (404) • CARNIVAL + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Page not found (404)

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+ +Content not found. Please use links in the navbar. + +
+ + + +
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+

Developed by Enio Gjerga, Panuwat Trairatphisan, Anika Liu, Alberto Valdeolivas, Nikolas Peschke.

+
+ +
+

Site built with pkgdown 1.5.1.

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+ +
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+ + + + + + + + diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html new file mode 100644 index 00000000..7ca43f59 --- /dev/null +++ b/docs/LICENSE-text.html @@ -0,0 +1,845 @@ + + + + + + + + +License • CARNIVAL + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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License

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+                     END OF TERMS AND CONDITIONS
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+            How to Apply These Terms to Your New Programs
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+    {project}  Copyright (C) {year}  {fullname}
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
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+The hypothetical commands `show w' and `show c' should show the appropriate
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+
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+
+  The GNU General Public License does not permit incorporating your program
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+<http://www.gnu.org/philosophy/why-not-lgpl.html>.
+
+ +
+ + + +
+ + + +
+
+

Developed by Enio Gjerga, Panuwat Trairatphisan, Anika Liu, Alberto Valdeolivas, Nikolas Peschke.

+
+ +
+

Site built with pkgdown 1.5.1.

+
+ +
+
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+
+ + + + +
+
+
+

Contextualizing large scale signalling networks from expression footprints with CARNIVAL

+

Enio Gjerga

+ +

2020-04-28

+ + Source: vignettes/CARNIVAL.Rmd + + +
+ + + +
+

+Introduction

+

While gene expression profiling is commonly used to gain an overview of cellular processes, the identification of upstream processes that drive expression changes remains a challenge. To address this issue, we introduce CARNIVAL (Liu, Trairatphisan, Gjerga et al 2019), a causal network contextualization tool which derives network architectures from gene expression footprints. CARNIVAL (CAusal Reasoning pipeline for Network identification using Integer VALue programming) integrates different sources of prior knowledge including signed and directed protein-protein interactions, transcription factor targets, and pathway signatures.

+
+

+Pipeline

+

CARNIVAL refines a quantitative objective function for ILP problem by incorporating TF and pathway activities on a continuous scale. In addition, the CARNIVAL framework allows us to contextualize the network with or without known targets of perturbations. The implementation is separated into two pipelines which will be referred henceforth as Standard CARNIVAL StdCARNIVAL (with known perturbation targets as an input) and Inverse CARNIVAL InvCARNIVAL (without information on targets of perturbation). The differential gene expression is used to infer transcription factor (TF) activities with DoRothEA, which are subsequently discretized in order to formulate ILPconstraints. As a result, CARNIVAL derives a family of highest scoring networks which best explain the inferred TF activities. Continuous pathway and TF activities can be additionally considered in the objective function.

+
+
+

+ILP solvers

+

CARNIVAL is an extension of the previously implemented Causal Reasoning method from Melas et al.. The network inference process is swiftly performed with an Integer Linear Programming (ILP) formulation of causal reasoning using three solvers: the R-CRAN lpSolve free software used for solving linear problems; the open-source mixed integer programming solver Cbc (Coin-or branch and cut); or the CPLEX optimizer from IBM which can be obtained for free through the Academic Initiative. To perform the analysis with cplex or cbc, the users will then need to store the binary cbc or cplex executables on any directory they wish. The binary files of cbc can be found by first downloading one of the optimization suites provided here: https://www.coin-or.org/download/binary/OptimizationSuite/, unzip the download and from there save the cbc executable (which can be found on the bin directory) file on any of the direcotries they wish of their machines. As for the cplex, the executable file can be obtained after registration on the ILOG CPLEX Optimization Studio Similar like before, users will have to find the cplex executable binary file and save on a directory of their own wish or keep them on their default installation paths. The path to interactive version of CPLEX is differed based on the operating system. The default installation path for each OS is as follows:

+

For Mac OS:

+
# ~/Applications/IBM/ILOG/CPLEX_Studio129/cplex/bin/x86-64_osx/cplex
+

For Linux:

+
# /opt/ibm/ILOG/CPLEX_Studio129/cplex/bin/x86-64_linux/cplex
+

For Windows:

+
# C:/Program Files/IBM/ILOG/CPLEX_Studio129/cplex/bin/x64_win64/cplex.exe
+

Note that the version of CPLEX has to be changed accordingly (the latest current version is CPLEX-Studio129).

+

The lpSolve solver can be used after downloading and installing the lpSolve R-package. This solver only works for smaller examples and it can give only one optimal solution. For larger real-case examples, the users can use cbc or cplex solvers.

+
+
+

+Prerequisites

+

Besides the above mentioned solvers, users need also to install the following R-package dependencies: readr; igraph; readxl; dplyr; lpSolve

+

In order to visualize the automatically generated CARNIVAL networks, users will also need to download and install the Graph Visualization software graphviz.

+
+
+
+

+Running CARNIVAL

+

In the CARNIVAL package, built-in examples are available as the test cases as follows:

+
    +

  1. A small toy example where the inputs are known (stdCARNIVAL)

    2. +

  2. A small toy example where the inputs are not known (invCARNVAL)

    3. +
+
+

+Toy Example - 1

+

Toy example for the stdCARNIVAL pipeline:

+
library(CARNIVAL)
+
+load(file = system.file("toy_inputs_ex1.RData",
+                        package="CARNIVAL"))
+load(file = system.file("toy_measurements_ex1.RData",
+                        package="CARNIVAL"))
+load(file = system.file("toy_network_ex1.RData",
+                        package="CARNIVAL"))
+
+# lpSolve
+result = runCARNIVAL(inputObj = toy_inputs_ex1, measObj = toy_measurements_ex1,
+                     netObj = toy_network_ex1)
+
+print(result)
+
## $weightedSIF
+##      Node1 Sign Node2 Weight
+## [1,] "I1"  "1"  "N1"  "100" 
+## [2,] "N1"  "1"  "M1"  "100" 
+## [3,] "N1"  "1"  "M2"  "100" 
+## 
+## $nodesAttributes
+##      Node ZeroAct UpAct DownAct AvgAct NodeType
+## [1,] "I1" "0"     "100" "0"     "100"  "S"     
+## [2,] "N1" "0"     "100" "0"     "100"  ""      
+## [3,] "I2" "0"     "100" "0"     "100"  "S"     
+## [4,] "N2" "100"   "0"   "0"     "0"    ""      
+## [5,] "M1" "0"     "100" "0"     "100"  "T"     
+## [6,] "M2" "0"     "100" "0"     "100"  "T"     
+## 
+## $sifAll
+## $sifAll[[1]]
+##      Node1 Sign Node2
+## [1,] "I1"  "1"  "N1" 
+## [2,] "N1"  "1"  "M1" 
+## [3,] "N1"  "1"  "M2" 
+## 
+## 
+## $attributesAll
+## $attributesAll[[1]]
+##      Nodes Activity
+## [1,] "I1"  "1"     
+## [2,] "N1"  "1"     
+## [3,] "I2"  "1"     
+## [4,] "M1"  "1"     
+## [5,] "M2"  "1"
+
+
+

+Toy Example - 2

+

Toy example for the invCARNIVAL pipeline:

+
library(CARNIVAL) # load CARNIVAL library
+
+load(file = system.file("toy_measurements_ex2.RData",
+                        package="CARNIVAL"))
+load(file = system.file("toy_network_ex2.RData",
+                        package="CARNIVAL"))
+
+# lpSolve
+result = runCARNIVAL(measObj = toy_measurements_ex2, netObj = toy_network_ex2)
+
+print(result)
+
## $weightedSIF
+##      Node1          Sign Node2 Weight
+## [1,] "I2"           "1"  "N1"  "100" 
+## [2,] "I2"           "1"  "N2"  "100" 
+## [3,] "N1"           "1"  "M1"  "100" 
+## [4,] "N1"           "1"  "M2"  "100" 
+## [5,] "N2"           "1"  "M2"  "100" 
+## [6,] "N2"           "1"  "M3"  "100" 
+## [7,] "Perturbation" "1"  "I2"  "100" 
+## 
+## $nodesAttributes
+##       Node           ZeroAct UpAct DownAct AvgAct NodeType
+##  [1,] "I1"           "100"   "0"   "0"     "0"    ""      
+##  [2,] "I2"           "0"     "100" "0"     "100"  ""      
+##  [3,] "I3"           "100"   "0"   "0"     "0"    ""      
+##  [4,] "N1"           "0"     "100" "0"     "100"  ""      
+##  [5,] "N2"           "0"     "100" "0"     "100"  ""      
+##  [6,] "Perturbation" "0"     "100" "0"     "100"  "S"     
+##  [7,] "M1"           "0"     "100" "0"     "100"  "T"     
+##  [8,] "M2"           "0"     "100" "0"     "100"  "T"     
+##  [9,] "M3"           "0"     "100" "0"     "100"  "T"     
+## 
+## $sifAll
+## $sifAll[[1]]
+##      Node1          Sign Node2
+## [1,] "I2"           "1"  "N1" 
+## [2,] "I2"           "1"  "N2" 
+## [3,] "N1"           "1"  "M1" 
+## [4,] "N1"           "1"  "M2" 
+## [5,] "N2"           "1"  "M2" 
+## [6,] "N2"           "1"  "M3" 
+## [7,] "Perturbation" "1"  "I2" 
+## 
+## 
+## $attributesAll
+## $attributesAll[[1]]
+##      Nodes          Activity
+## [1,] "I2"           "1"     
+## [2,] "N1"           "1"     
+## [3,] "N2"           "1"     
+## [4,] "Perturbation" "1"     
+## [5,] "M1"           "1"     
+## [6,] "M2"           "1"     
+## [7,] "M3"           "1"
+
+
+

+R version information

+
## R version 4.0.0 (2020-04-24)
+## Platform: x86_64-apple-darwin17.0 (64-bit)
+## Running under: macOS Mojave 10.14.5
+## 
+## Matrix products: default
+## BLAS:   /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRblas.dylib
+## LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib
+## 
+## locale:
+## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
+## 
+## attached base packages:
+## [1] stats     graphics  grDevices utils     datasets  methods   base     
+## 
+## other attached packages:
+## [1] CARNIVAL_0.99.44 knitr_1.28      
+## 
+## loaded via a namespace (and not attached):
+##  [1] httr_1.4.1           Biobase_2.47.3       mixtools_1.2.0      
+##  [4] UniProt.ws_2.27.1    bit64_0.9-7          splines_4.0.0       
+##  [7] foreach_1.5.0        assertthat_0.2.1     BiocFileCache_1.11.4
+## [10] stats4_4.0.0         RBGL_1.63.1          blob_1.2.1          
+## [13] yaml_2.2.1           Category_2.53.1      viper_1.21.0        
+## [16] pillar_1.4.3         RSQLite_2.2.0        backports_1.1.6     
+## [19] lattice_0.20-41      glue_1.4.0           digest_0.6.25       
+## [22] colorspace_1.4-1     htmltools_0.4.0      Matrix_1.2-18       
+## [25] GSEABase_1.49.1      lpSolve_5.6.15       XML_3.99-0.3        
+## [28] pkgconfig_2.0.3      genefilter_1.69.0    purrr_0.3.3         
+## [31] xtable_1.8-4         scales_1.1.0         tibble_3.0.0        
+## [34] annotate_1.65.1      IRanges_2.21.8       ggplot2_3.3.0       
+## [37] ellipsis_0.3.0       BiocGenerics_0.33.3  cli_2.0.2           
+## [40] survival_3.1-12      magrittr_1.5         crayon_1.3.4        
+## [43] memoise_1.1.0        evaluate_0.14        fs_1.4.1            
+## [46] fansi_0.4.1          doParallel_1.0.15    MASS_7.3-51.5       
+## [49] segmented_1.1-0      class_7.3-16         graph_1.65.2        
+## [52] tools_4.0.0          hms_0.5.3            lifecycle_0.2.0     
+## [55] stringr_1.4.0        S4Vectors_0.25.15    kernlab_0.9-29      
+## [58] munsell_0.5.0        AnnotationDbi_1.49.1 compiler_4.0.0      
+## [61] pkgdown_1.5.1        e1071_1.7-3          rlang_0.4.5         
+## [64] grid_4.0.0           RCurl_1.98-1.1       iterators_1.0.12    
+## [67] rstudioapi_0.11      rappdirs_0.3.1       igraph_1.2.5        
+## [70] bitops_1.0-6         rmarkdown_2.1        gtable_0.3.0        
+## [73] codetools_0.2-16     curl_4.3             DBI_1.1.0           
+## [76] R6_2.4.1             dplyr_0.8.5          bit_1.1-15.2        
+## [79] rprojroot_1.3-2      KernSmooth_2.23-16   readr_1.3.1         
+## [82] desc_1.2.0           stringi_1.4.6        parallel_4.0.0      
+## [85] Rcpp_1.0.4           vctrs_0.2.4          dbplyr_1.4.2        
+## [88] tidyselect_1.0.0     xfun_0.12
+
+
+
+ + + +
+ + + +
+

Developed by Enio Gjerga, Panuwat Trairatphisan, Anika Liu, Alberto Valdeolivas, Nikolas Peschke.

+
+ +
+

Site built with pkgdown 1.5.1.

+
+ +
+
+ + + + + + diff --git a/docs/articles/index.html b/docs/articles/index.html new file mode 100644 index 00000000..57722ce6 --- /dev/null +++ b/docs/articles/index.html @@ -0,0 +1,170 @@ + + + + + + + + +Articles • CARNIVAL + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + + +
+ +
+
+
+

Articles

+
+ +
+

All vignettes

+

+ +
+
Contextualizing large scale signalling networks from expression footprints with CARNIVAL
+
+
+
+
+
+ + +
+
+

Developed by Enio Gjerga, Panuwat Trairatphisan, Anika Liu, Alberto Valdeolivas, Nikolas Peschke.

+
+ +
+

Site built with pkgdown 1.5.1.

+
+ +
+
+ + + + + + + + diff --git a/docs/authors.html b/docs/authors.html new file mode 100644 index 00000000..aa6bfebc --- /dev/null +++ b/docs/authors.html @@ -0,0 +1,200 @@ + + + + + + + + +Citation and Authors • CARNIVAL + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
+ + + + +
+ +
+
+
+

Citation

+ Source: inst/CITATION +
+ +

Liu A., Trairatphisan P., Gjerga E. et al. 'From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL.' npj Systems Biology and Applications volume 5, Article number: 40 (2019) (equal contributions).

+ 
@Article{,
+  author = {Anika Liu and Panuwat Trairatphisan and Enio Gjerga and Athanasios Didangelos and Jonathan Barratt and Julio Saez-Rodriguez},
+  title = {From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL},
+  journal = {npj Systems Biology and Applications},
+  year = {2019},
+  doi = {10.1038/s41540-019-0118-z},
+}
+ +
+

Authors

+
+ +
    +
  • +

    Enio Gjerga. Maintainer, author. +

    +
    • +
  • +

    Panuwat Trairatphisan. Author. +

    +
    • +
  • +

    Anika Liu. Author. +

    +
    • +
  • +

    Alberto Valdeolivas. Author. +

    +
    • +
  • +

    Nikolas Peschke. Author. +

    +
    • +
+ +
+ +
+ + + +
+
+

Developed by Enio Gjerga, Panuwat Trairatphisan, Anika Liu, Alberto Valdeolivas, Nikolas Peschke.

+
+ +
+

Site built with pkgdown 1.5.1.

+
+ +
+
+ + + + + + + + diff --git a/docs/bootstrap-toc.css b/docs/bootstrap-toc.css new file mode 100644 index 00000000..5a859415 --- /dev/null +++ b/docs/bootstrap-toc.css @@ -0,0 +1,60 @@ +/*! + * Bootstrap Table of Contents v0.4.1 (http://afeld.github.io/bootstrap-toc/) + * Copyright 2015 Aidan Feldman + * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */ + +/* modified from https://github.com/twbs/bootstrap/blob/94b4076dd2efba9af71f0b18d4ee4b163aa9e0dd/docs/assets/css/src/docs.css#L548-L601 */ + +/* All levels of nav */ +nav[data-toggle='toc'] .nav > li > a { + display: block; + padding: 4px 20px; + font-size: 13px; + font-weight: 500; + color: #767676; +} +nav[data-toggle='toc'] .nav > li > a:hover, +nav[data-toggle='toc'] .nav > li > a:focus { + padding-left: 19px; + color: #563d7c; + text-decoration: none; + background-color: transparent; + border-left: 1px solid #563d7c; +} +nav[data-toggle='toc'] .nav > .active > a, +nav[data-toggle='toc'] .nav > .active:hover > a, +nav[data-toggle='toc'] .nav > .active:focus > a { + padding-left: 18px; + font-weight: bold; + color: #563d7c; + background-color: transparent; + border-left: 2px solid #563d7c; +} + +/* Nav: second level (shown on .active) */ +nav[data-toggle='toc'] .nav .nav { + display: none; /* Hide by default, but at >768px, show it */ + padding-bottom: 10px; +} +nav[data-toggle='toc'] .nav .nav > li > a { + padding-top: 1px; + padding-bottom: 1px; + padding-left: 30px; + font-size: 12px; + font-weight: normal; +} +nav[data-toggle='toc'] .nav .nav > li > a:hover, +nav[data-toggle='toc'] .nav .nav > li > a:focus { + padding-left: 29px; +} +nav[data-toggle='toc'] .nav .nav > .active > a, +nav[data-toggle='toc'] .nav .nav > .active:hover > a, +nav[data-toggle='toc'] .nav .nav > .active:focus > a { + padding-left: 28px; + font-weight: 500; +} + +/* from https://github.com/twbs/bootstrap/blob/e38f066d8c203c3e032da0ff23cd2d6098ee2dd6/docs/assets/css/src/docs.css#L631-L634 */ +nav[data-toggle='toc'] .nav > .active > ul { + display: block; +} diff --git a/docs/bootstrap-toc.js b/docs/bootstrap-toc.js new file mode 100644 index 00000000..1cdd573b --- /dev/null +++ b/docs/bootstrap-toc.js @@ -0,0 +1,159 @@ +/*! + * Bootstrap Table of Contents v0.4.1 (http://afeld.github.io/bootstrap-toc/) + * Copyright 2015 Aidan Feldman + * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */ +(function() { + 'use strict'; + + window.Toc = { + helpers: { + // return all matching elements in the set, or their descendants + findOrFilter: function($el, selector) { + // http://danielnouri.org/notes/2011/03/14/a-jquery-find-that-also-finds-the-root-element/ + // http://stackoverflow.com/a/12731439/358804 + var $descendants = $el.find(selector); + return $el.filter(selector).add($descendants).filter(':not([data-toc-skip])'); + }, + + generateUniqueIdBase: function(el) { + var text = $(el).text(); + var anchor = text.trim().toLowerCase().replace(/[^A-Za-z0-9]+/g, '-'); + return anchor || el.tagName.toLowerCase(); + }, + + generateUniqueId: function(el) { + var anchorBase = this.generateUniqueIdBase(el); + for (var i = 0; ; i++) { + var anchor = anchorBase; + if (i > 0) { + // add suffix + anchor += '-' + i; + } + // check if ID already exists + if (!document.getElementById(anchor)) { + return anchor; + } + } + }, + + generateAnchor: function(el) { + if (el.id) { + return el.id; + } else { + var anchor = this.generateUniqueId(el); + el.id = anchor; + return anchor; + } + }, + + createNavList: function() { + return $('
    '); + }, + + createChildNavList: function($parent) { + var $childList = this.createNavList(); + $parent.append($childList); + return $childList; + }, + + generateNavEl: function(anchor, text) { + var $a = $(''); + $a.attr('href', '#' + anchor); + $a.text(text); + var $li = $('
  • '); + $li.append($a); + return $li; + }, + + generateNavItem: function(headingEl) { + var anchor = this.generateAnchor(headingEl); + var $heading = $(headingEl); + var text = $heading.data('toc-text') || $heading.text(); + return this.generateNavEl(anchor, text); + }, + + // Find the first heading level (`

    `, then `

    `, etc.) that has more than one element. Defaults to 1 (for `

    `). + getTopLevel: function($scope) { + for (var i = 1; i <= 6; i++) { + var $headings = this.findOrFilter($scope, 'h' + i); + if ($headings.length > 1) { + return i; + } + } + + return 1; + }, + + // returns the elements for the top level, and the next below it + getHeadings: function($scope, topLevel) { + var topSelector = 'h' + topLevel; + + var secondaryLevel = topLevel + 1; + var secondarySelector = 'h' + secondaryLevel; + + return this.findOrFilter($scope, topSelector + ',' + secondarySelector); + }, + + getNavLevel: function(el) { + return parseInt(el.tagName.charAt(1), 10); + }, + + populateNav: function($topContext, topLevel, $headings) { + var $context = $topContext; + var $prevNav; + + var helpers = this; + $headings.each(function(i, el) { + var $newNav = helpers.generateNavItem(el); + var navLevel = helpers.getNavLevel(el); + + // determine the proper $context + if (navLevel === topLevel) { + // use top level + $context = $topContext; + } else if ($prevNav && $context === $topContext) { + // create a new level of the tree and switch to it + $context = helpers.createChildNavList($prevNav); + } // else use the current $context + + $context.append($newNav); + + $prevNav = $newNav; + }); + }, + + parseOps: function(arg) { + var opts; + if (arg.jquery) { + opts = { + $nav: arg + }; + } else { + opts = arg; + } + opts.$scope = opts.$scope || $(document.body); + return opts; + } + }, + + // accepts a jQuery object, or an options object + init: function(opts) { + opts = this.helpers.parseOps(opts); + + // ensure that the data attribute is in place for styling + opts.$nav.attr('data-toggle', 'toc'); + + var $topContext = this.helpers.createChildNavList(opts.$nav); + var topLevel = this.helpers.getTopLevel(opts.$scope); + var $headings = this.helpers.getHeadings(opts.$scope, topLevel); + this.helpers.populateNav($topContext, topLevel, $headings); + } + }; + + $(function() { + $('nav[data-toggle="toc"]').each(function(i, el) { + var $nav = $(el); + Toc.init($nav); + }); + }); +})(); diff --git a/docs/docsearch.css b/docs/docsearch.css new file mode 100644 index 00000000..e5f1fe1d --- /dev/null +++ b/docs/docsearch.css @@ -0,0 +1,148 @@ +/* Docsearch -------------------------------------------------------------- */ +/* + Source: https://github.com/algolia/docsearch/ + License: MIT +*/ + +.algolia-autocomplete { + display: block; + -webkit-box-flex: 1; + -ms-flex: 1; + flex: 1 +} + +.algolia-autocomplete .ds-dropdown-menu { + width: 100%; + min-width: none; + max-width: none; + padding: .75rem 0; + background-color: #fff; + background-clip: padding-box; + border: 1px solid rgba(0, 0, 0, .1); + box-shadow: 0 .5rem 1rem rgba(0, 0, 0, .175); +} + +@media (min-width:768px) { + .algolia-autocomplete .ds-dropdown-menu { + width: 175% + } +} + +.algolia-autocomplete .ds-dropdown-menu::before { + display: none +} + +.algolia-autocomplete .ds-dropdown-menu [class^=ds-dataset-] { + padding: 0; + background-color: rgb(255,255,255); + border: 0; + max-height: 80vh; +} + +.algolia-autocomplete .ds-dropdown-menu .ds-suggestions { + margin-top: 0 +} + +.algolia-autocomplete .algolia-docsearch-suggestion { + padding: 0; + overflow: visible +} + +.algolia-autocomplete .algolia-docsearch-suggestion--category-header { + padding: .125rem 1rem; + margin-top: 0; + font-size: 1.3em; + font-weight: 500; + color: #00008B; + border-bottom: 0 +} + +.algolia-autocomplete .algolia-docsearch-suggestion--wrapper { + float: none; + padding-top: 0 +} + +.algolia-autocomplete .algolia-docsearch-suggestion--subcategory-column { + float: none; + width: auto; + padding: 0; + text-align: left +} + +.algolia-autocomplete .algolia-docsearch-suggestion--content { + float: none; + width: auto; + padding: 0 +} + +.algolia-autocomplete .algolia-docsearch-suggestion--content::before { + display: none +} + +.algolia-autocomplete .ds-suggestion:not(:first-child) .algolia-docsearch-suggestion--category-header { + padding-top: .75rem; + margin-top: .75rem; + border-top: 1px solid rgba(0, 0, 0, .1) +} + +.algolia-autocomplete .ds-suggestion .algolia-docsearch-suggestion--subcategory-column { + display: block; + padding: .1rem 1rem; + margin-bottom: 0.1; + font-size: 1.0em; + font-weight: 400 + /* display: none */ +} + +.algolia-autocomplete .algolia-docsearch-suggestion--title { + display: block; + padding: .25rem 1rem; + margin-bottom: 0; + font-size: 0.9em; + font-weight: 400 +} + +.algolia-autocomplete .algolia-docsearch-suggestion--text { + padding: 0 1rem .5rem; + margin-top: -.25rem; + font-size: 0.8em; + font-weight: 400; + line-height: 1.25 +} + +.algolia-autocomplete .algolia-docsearch-footer { + width: 110px; + height: 20px; + z-index: 3; + margin-top: 10.66667px; + float: right; + font-size: 0; + line-height: 0; +} + +.algolia-autocomplete .algolia-docsearch-footer--logo { + background-image: url("data:image/svg+xml;utf8,"); + background-repeat: no-repeat; + background-position: 50%; + background-size: 100%; + overflow: hidden; + text-indent: -9000px; + width: 100%; + height: 100%; + display: block; + transform: translate(-8px); +} + +.algolia-autocomplete .algolia-docsearch-suggestion--highlight { + color: #FF8C00; + background: rgba(232, 189, 54, 0.1) +} + + +.algolia-autocomplete .algolia-docsearch-suggestion--text .algolia-docsearch-suggestion--highlight { + box-shadow: inset 0 -2px 0 0 rgba(105, 105, 105, .5) +} + +.algolia-autocomplete .ds-suggestion.ds-cursor .algolia-docsearch-suggestion--content { + background-color: rgba(192, 192, 192, .15) +} diff --git a/docs/docsearch.js b/docs/docsearch.js new file mode 100644 index 00000000..b35504cd --- /dev/null +++ b/docs/docsearch.js @@ -0,0 +1,85 @@ +$(function() { + + // register a handler to move the focus to the search bar + // upon pressing shift + "/" (i.e. "?") + $(document).on('keydown', function(e) { + if (e.shiftKey && e.keyCode == 191) { + e.preventDefault(); 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    +
    + + + + +
    +
    +
    +

    +CARNIVAL

    +

    CARNIVAL is an R-package providing a framework to perform causal reasoning to infer a subset of signalling network from transcriptomics data. This work was originally based on Melas et al. with a number improved functionalities comparing to the original version. Transcription factors’ (TFs) activities and pathway scores from gene expressions can be inferred with our in-house tools DoRothEA & PROGENy, respectively. TFs’ activities and signed directed protein-protein interaction networks +/- drug targets and pathway scores are then used to derive a series of linear constraints to generate integer linear programming (ILP) problems. An ILP solver (CPLEX) is subsequently applied to identify the sub-network topology with minimised discrepancies on fitting error and model size.

    +

    More detailed descriptions of CARNIVAL, benchmarking and applicational studies can be found on it’s dedicated web-page and in Liu, Trairatphisan, Gjerga et al.:

    +
    +

    Liu A, Trairatphisan P, Gjerga E, Didangelos A, Barratt J, Saez-Rodriguez J. (2019). From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL. npj Systems Biology and Applications, https://doi.org/10.1038/s41540-019-0118-z (equal contributions).

    +
    +
    +

    +Getting Started

    +

    A tutorial for preparing CARNIVAL input files starting from differentially gene expression (DEG) and for running the CARNIVAL pipeline are provided as vignettes in R-Markdown, R-script and HTML formats. The wrapper script “runCARNIVAL” was introduced to take input arguments, pre-process input descriptions, run optimisation and export results as network files and figures. Three built-in CARNIVAL examples are also supplied as case studies for users.

    +
    +

    +Prerequisites

    +

    CARNIVAL requires the interactive version of IBM Cplex or CBC-COIN solver as the network optimiser. The IBM ILOG Cplex is freely available through Academic Initiative here. The CBC solver is open source and freely available for any user. Alternatively for smaller cases, users can rely on the freely available lpSolve R-package.

    +
    +
    +

    +Installing

    +

    CARNIVAL is currently available for the installation as an R-package from our GitHub page

    +
    # Install CARNIVAL from Github using devtools
+# install.packages('devtools') # in case devtools hasn't been installed
+library(devtools)
+install_github('saezlab/CARNIVAL', build_vignettes = TRUE)
+# or download the source file from GitHub and install from source
+install.packages('path_to_extracted_CARNIVAL_directory', repos = NULL, type="source")
    +
    +
    +
    +

    +Running CARNIVAL

    +

    To obtain the list of tutorials/vignettes of the CARNIVAL package, user can start with typing the following commmand on R-console:

    +
    vignette("CARNIVAL-vignette")
    +
    +
    +

    +License

    +

    Distributed under the GNU GPLv3 License. See accompanying file LICENSE.txt or copy at http://www.gnu.org/licenses/gpl-3.0.html.

    +
    +
    +

    +References

    +

    Melas et al.:

    +
    +

    Melas IN, Sakellaropoulos T, Iorio F, Alexopoulos L, Loh WY, Lauffenburger DA, Saez-Rodriguez J, Bai JPF. (2015). Identification of drug-specific pathways based on gene expression data: application to drug induced lung injury. Integrative Biology, Issue 7, Pages 904-920, https://doi.org/10.1039/C4IB00294F.

    +
    +

    DoRothEA v2 - Garcia-Alonso et al.:

    +
    +

    Garcia-Alonso L, Ibrahim MM, Turei D, Saez-Rodriguez J. (2018). Benchmark and integration of resources for the estimation of human transcription factor activities. bioRXiv, https://doi.org/10.1101/337915.

    +
    +

    PROGENy - Schubert et al.:

    +
    +

    Schubert M, Klinger B, Klünemann M, Sieber A, Uhlitz F, Sauer S, Garnett MJ, Blüthgen N, Saez-Rodriguez J. (2018). Perturbation-response genes reveal signaling footprints in cancer gene expression. Nature Communication, Issue 9, Nr. 20. https://doi.org/10.1038/s41467-017-02391-6.

    +
    +
    +
    +

    +Acknowledgement

    +

    CARNIVAL has been developed as a computational tool to analyse -omics data within the TransQST Consortium and H2020 Symbiosys ITN Training Network.

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    “This project has received funding by the European Union’s H2020 program (675585 Marie-Curie ITN ‘‘SymBioSys’’) and the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 116030. The Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.”

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    Developed by Enio Gjerga, Panuwat Trairatphisan, Anika Liu, Alberto Valdeolivas, Nikolas Peschke.

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    Site built with pkgdown 1.5.1.

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    + + + + + + + + diff --git a/docs/pkgdown.css b/docs/pkgdown.css new file mode 100644 index 00000000..c01e5923 --- /dev/null +++ b/docs/pkgdown.css @@ -0,0 +1,367 @@ +/* Sticky footer */ + +/** + * Basic idea: https://philipwalton.github.io/solved-by-flexbox/demos/sticky-footer/ + * Details: https://github.com/philipwalton/solved-by-flexbox/blob/master/assets/css/components/site.css + * + * .Site -> body > .container + * .Site-content -> body > .container .row + * .footer -> footer + * + * Key idea seems to be to ensure that .container and __all its parents__ + * have height set to 100% + * + */ + +html, body { + height: 100%; +} + +body { + position: relative; +} + +body > .container { + display: flex; + height: 100%; + flex-direction: column; +} + +body > .container .row { + flex: 1 0 auto; +} + +footer { + margin-top: 45px; + padding: 35px 0 36px; + border-top: 1px solid #e5e5e5; + color: #666; + display: flex; + flex-shrink: 0; +} +footer p { + margin-bottom: 0; +} +footer div { + flex: 1; +} +footer .pkgdown { + text-align: right; +} +footer p { + margin-bottom: 0; +} + +img.icon { + float: right; +} + +img { + max-width: 100%; +} + +/* Fix bug in bootstrap (only seen in firefox) */ +summary { + display: list-item; +} + +/* Typographic tweaking ---------------------------------*/ + +.contents .page-header { + margin-top: calc(-60px + 1em); +} + +dd { + margin-left: 3em; +} + +/* Section anchors ---------------------------------*/ + +a.anchor { + margin-left: -30px; + display:inline-block; + width: 30px; + height: 30px; + visibility: hidden; + + background-image: url(./link.svg); + background-repeat: no-repeat; + background-size: 20px 20px; + background-position: center center; +} + +.hasAnchor:hover a.anchor { + visibility: visible; +} + +@media (max-width: 767px) { + .hasAnchor:hover a.anchor { + visibility: hidden; + } +} + + +/* Fixes for fixed navbar --------------------------*/ + +.contents h1, .contents h2, .contents h3, .contents h4 { + padding-top: 60px; + margin-top: -40px; +} + +/* Navbar submenu --------------------------*/ + +.dropdown-submenu { + position: relative; +} + +.dropdown-submenu>.dropdown-menu { + top: 0; + left: 100%; + margin-top: -6px; + margin-left: -1px; + border-radius: 0 6px 6px 6px; +} + +.dropdown-submenu:hover>.dropdown-menu { + display: block; +} + +.dropdown-submenu>a:after { + display: block; + content: " "; + float: right; + width: 0; + height: 0; + border-color: transparent; + border-style: solid; + border-width: 5px 0 5px 5px; + border-left-color: #cccccc; + margin-top: 5px; + margin-right: -10px; +} + +.dropdown-submenu:hover>a:after { + border-left-color: #ffffff; +} + +.dropdown-submenu.pull-left { + float: none; +} + +.dropdown-submenu.pull-left>.dropdown-menu { + left: -100%; + margin-left: 10px; + border-radius: 6px 0 6px 6px; +} + +/* Sidebar --------------------------*/ + +#pkgdown-sidebar { + margin-top: 30px; + position: -webkit-sticky; + position: sticky; + top: 70px; +} + +#pkgdown-sidebar h2 { + font-size: 1.5em; + margin-top: 1em; +} + +#pkgdown-sidebar h2:first-child { + margin-top: 0; +} + +#pkgdown-sidebar .list-unstyled li { + margin-bottom: 0.5em; +} + +/* bootstrap-toc tweaks ------------------------------------------------------*/ + +/* All levels of nav */ + +nav[data-toggle='toc'] .nav > li > a { + padding: 4px 20px 4px 6px; + font-size: 1.5rem; + font-weight: 400; + color: inherit; +} + +nav[data-toggle='toc'] .nav > li > a:hover, +nav[data-toggle='toc'] .nav > li > a:focus { + padding-left: 5px; + color: inherit; + border-left: 1px solid #878787; +} + +nav[data-toggle='toc'] .nav > .active > a, +nav[data-toggle='toc'] .nav > .active:hover > a, +nav[data-toggle='toc'] .nav > .active:focus > a { + padding-left: 5px; + font-size: 1.5rem; + font-weight: 400; + color: inherit; + border-left: 2px solid #878787; +} + +/* Nav: second level (shown on .active) */ + +nav[data-toggle='toc'] .nav .nav { + display: none; /* Hide by default, but at >768px, show it */ + padding-bottom: 10px; +} + +nav[data-toggle='toc'] .nav .nav > li > a { + padding-left: 16px; + font-size: 1.35rem; +} + +nav[data-toggle='toc'] .nav .nav > li > a:hover, +nav[data-toggle='toc'] .nav .nav > li > a:focus { + padding-left: 15px; +} + +nav[data-toggle='toc'] .nav .nav > .active > a, +nav[data-toggle='toc'] .nav .nav > .active:hover > a, +nav[data-toggle='toc'] .nav .nav > .active:focus > a { + padding-left: 15px; + font-weight: 500; + font-size: 1.35rem; +} + +/* orcid ------------------------------------------------------------------- */ + +.orcid { + font-size: 16px; + color: #A6CE39; + /* margins are required by official ORCID trademark and display guidelines */ + margin-left:4px; + margin-right:4px; + vertical-align: middle; +} + +/* Reference index & topics ----------------------------------------------- */ + +.ref-index th {font-weight: normal;} + +.ref-index td {vertical-align: top;} +.ref-index .icon {width: 40px;} +.ref-index .alias {width: 40%;} +.ref-index-icons .alias {width: calc(40% - 40px);} +.ref-index .title {width: 60%;} + +.ref-arguments th {text-align: right; padding-right: 10px;} +.ref-arguments th, .ref-arguments td {vertical-align: top;} +.ref-arguments .name {width: 20%;} +.ref-arguments .desc {width: 80%;} + +/* Nice scrolling for wide elements --------------------------------------- */ + +table { + display: block; + overflow: auto; +} + +/* Syntax highlighting ---------------------------------------------------- */ + +pre { + word-wrap: normal; + word-break: normal; + border: 1px solid #eee; +} + +pre, code { + background-color: #f8f8f8; + color: #333; +} + +pre code { + overflow: auto; + word-wrap: normal; + white-space: pre; +} + +pre .img { + margin: 5px 0; +} + +pre .img img { + background-color: #fff; + display: block; + height: auto; +} + +code a, pre a { + color: #375f84; +} + +a.sourceLine:hover { + text-decoration: none; +} + +.fl {color: #1514b5;} +.fu {color: #000000;} /* function */ +.ch,.st {color: #036a07;} /* string */ +.kw {color: #264D66;} /* keyword */ +.co {color: #888888;} /* comment */ + +.message { color: black; font-weight: bolder;} +.error { color: orange; font-weight: bolder;} +.warning { color: #6A0366; font-weight: bolder;} + +/* Clipboard --------------------------*/ + +.hasCopyButton { + position: relative; +} + +.btn-copy-ex { + position: absolute; + right: 0; + top: 0; + visibility: hidden; +} + +.hasCopyButton:hover button.btn-copy-ex { + visibility: visible; +} + +/* headroom.js ------------------------ */ + +.headroom { + will-change: transform; + transition: transform 200ms linear; +} +.headroom--pinned { + transform: translateY(0%); +} +.headroom--unpinned { + transform: translateY(-100%); +} + +/* mark.js ----------------------------*/ + +mark { + background-color: rgba(255, 255, 51, 0.5); + border-bottom: 2px solid rgba(255, 153, 51, 0.3); + padding: 1px; +} + +/* vertical spacing after htmlwidgets */ +.html-widget { + margin-bottom: 10px; +} + +/* fontawesome ------------------------ */ + +.fab { + font-family: "Font Awesome 5 Brands" !important; +} + +/* don't display links in code chunks when printing */ +/* source: https://stackoverflow.com/a/10781533 */ +@media print { + code a:link:after, code a:visited:after { + content: ""; + } +} diff --git a/docs/pkgdown.js b/docs/pkgdown.js new file mode 100644 index 00000000..7e7048fa --- /dev/null +++ b/docs/pkgdown.js @@ -0,0 +1,108 @@ +/* http://gregfranko.com/blog/jquery-best-practices/ */ +(function($) { + $(function() { + + $('.navbar-fixed-top').headroom(); + + $('body').css('padding-top', $('.navbar').height() + 10); + $(window).resize(function(){ + $('body').css('padding-top', $('.navbar').height() + 10); + }); + + $('[data-toggle="tooltip"]').tooltip(); + + var cur_path = paths(location.pathname); + var links = $("#navbar ul li a"); + var max_length = -1; + var pos = -1; + for (var i = 0; i < links.length; i++) { + if (links[i].getAttribute("href") === "#") + continue; + // Ignore external links + if (links[i].host !== location.host) + continue; + + var nav_path = paths(links[i].pathname); + + var length = prefix_length(nav_path, cur_path); + if (length > max_length) { + max_length = length; + pos = i; + } + } + + // Add class to parent
  • , and enclosing
  • if in dropdown + if (pos >= 0) { + var menu_anchor = $(links[pos]); + menu_anchor.parent().addClass("active"); + menu_anchor.closest("li.dropdown").addClass("active"); + } + }); + + function paths(pathname) { + var pieces = pathname.split("/"); + pieces.shift(); // always starts with / + + var end = pieces[pieces.length - 1]; + if (end === "index.html" || end === "") + pieces.pop(); + return(pieces); + } + + // Returns -1 if not found + function prefix_length(needle, haystack) { + if (needle.length > haystack.length) + return(-1); + + // Special case for length-0 haystack, since for loop won't run + if (haystack.length === 0) { + return(needle.length === 0 ? 0 : -1); + } + + for (var i = 0; i < haystack.length; i++) { + if (needle[i] != haystack[i]) + return(i); + } + + return(haystack.length); + } + + /* Clipboard --------------------------*/ + + function changeTooltipMessage(element, msg) { + var tooltipOriginalTitle=element.getAttribute('data-original-title'); + element.setAttribute('data-original-title', msg); + $(element).tooltip('show'); + element.setAttribute('data-original-title', tooltipOriginalTitle); + } + + if(ClipboardJS.isSupported()) { + $(document).ready(function() { + var copyButton = ""; + + $(".examples, div.sourceCode").addClass("hasCopyButton"); + + // Insert copy buttons: + $(copyButton).prependTo(".hasCopyButton"); + + // Initialize tooltips: + $('.btn-copy-ex').tooltip({container: 'body'}); + + // Initialize clipboard: + var clipboardBtnCopies = new ClipboardJS('[data-clipboard-copy]', { + text: function(trigger) { + return trigger.parentNode.textContent; + } + }); + + clipboardBtnCopies.on('success', function(e) { + changeTooltipMessage(e.trigger, 'Copied!'); + e.clearSelection(); + }); + + clipboardBtnCopies.on('error', function() { + changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy'); + }); + }); + } +})(window.jQuery || window.$) diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml new file mode 100644 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    + + + + + + + + + + + + + + + + + + + + + + + + +
    +

    All functions

    +

    +
    +

    runCARNIVAL()

    +

    runCARNIVAL

    +
    + + +
    + + +
    +
    +

    Developed by Enio Gjerga, Panuwat Trairatphisan, Anika Liu, Alberto Valdeolivas, Nikolas Peschke.

    +
    + +
    +

    Site built with pkgdown 1.5.1.

    +
    + +
    +
    + + + + + + + + diff --git a/docs/reference/runCARNIVAL.html b/docs/reference/runCARNIVAL.html new file mode 100644 index 00000000..caae6660 --- /dev/null +++ b/docs/reference/runCARNIVAL.html @@ -0,0 +1,310 @@ + + + + + + + + +<code>runCARNIVAL</code> — runCARNIVAL • CARNIVAL + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + +
    + +
    +
    +
    +

    runCARNIVAL

    + Source: R/runCARNIVAL.R + +
    + +
    +

    Run CARNIVAL pipeline using to the user-provided list of inputs or run CARNIVAL +built-in examples

    +
    + + 
    runCARNIVAL(inputObj=NULL, measObj=measObj, netObj=netObj, weightObj=NULL,
+            solverPath=NULL, solver=c("lpSolve", "cplex", "cbc"),
+            timelimit=3600, mipGAP=0.05, poolrelGAP=0.0001, limitPop=500,
+            poolCap=100, poolIntensity=4, poolReplace=2, alphaWeight=1,
+            betaWeight=0.2, threads = 0, dir_name=NULL)
    + +

    Arguments

    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    inputObj

    Data frame of the list for target of perturbation - optional + or default set to NULL to run invCARNIVAL when inputs are not + known

    measObj

    Data frame of the measurement file (i.e. DoRothEA normalised + enrichment scores) - always required

    netObj

    Data frame of the prior knowledge network - always required

    weightObj

    Data frame of the additional weight (i.e. PROGENy pathway + score or measured protein activities) - optional or default set + as NULL to run CARNIVAL without weights

    solverPath

    Path to executable cbc/cplex file - default set to NULL, in + which case the solver from lpSolve package is used

    solver

    Solver to use: lpSolve/cplex/cbc (Default set to lpSolve)

    timelimit

    CPLEX/Cbc parameter: Time limit of CPLEX optimisation (in + seconds)

    mipGAP

    CPLEX parameter: the absolute tolerance on the gap between the + best integer objective and the objective of the best node + remaining. When this difference falls below the value of this + parameter, the linear integer optimization is stopped. Default set + to 0.05

    poolrelGAP

    CPLEX/Cbc parameter: Allowed relative gap of accepted solution + comparing within the pool of accepted solution (fraction; default: + 0.0001)

    limitPop

    CPLEX parameter: Allowed number of solutions to be generated + (default: 500)

    poolCap

    CPLEX parameter: Allowed number of solution to be kept in the + pool of solution (default: 100)

    poolIntensity

    CPLEX parameter: Intensity of solution searching (0,1,2,3,4 + - default: 4)

    poolReplace

    CPLEX parameter: Replacement strategy of solutions in the + pool (0,1,2 - default: 2 = most diversified solutions)

    alphaWeight

    Objective function: weight for mismatch penalty (default: 1 - + will only be applied once measurement file only contains + discrete values)

    betaWeight

    Objective function: weight for node penalty (default: 0.2)

    threads

    Number of threads to be used for the analysis (default: 0 - +meaning all threads)

    dir_name

    For plotting: define if DOT figure will be exported in the +directory defined by this variable. Default set to NULL, meaning that no .DOT +figure will be exported. If a valid path is specified, the figure will be +exported as 'network_solution.dot' file in the specified directory. If +specified dir_name path oes not exist, nos figure will be generated

    + +

    Value

    + +

    The networks and predicted node activities from the CARNIVAL pipeline as a +variable which are also optionally saved in the destined result folder

    + +

    Examples

    + 
    ## loading toy example 1
+
+load(file = system.file("toy_inputs_ex1.RData",
+package="CARNIVAL"))
+load(file = system.file("toy_measurements_ex1.RData",
+package="CARNIVAL"))
+load(file = system.file("toy_network_ex1.RData",
+package="CARNIVAL"))
+
+## lpSolve
+res1 = runCARNIVAL(inputObj = toy_inputs_ex1, measObj = toy_measurements_ex1,
+                      netObj = toy_network_ex1)
    #> Writing constraints...
    #> Solving LP problem...
    #> Parsed with column specification:
+#> cols(
+#>   `enter Problem` = col_character()
+#> )
    
+# ## cbc
+# res2 = runCARNIVAL(inputObj = toy_inputs_ex1, measObj = toy_measurements_ex1, 
+#                    netObj = toy_network_ex1, solverPath = solverPath,
+#                    solver = "cbc")
+# 
+# ## cplex
+# res3 = runCARNIVAL(inputObj = toy_inputs_ex1, measObj = toy_measurements_ex1, 
+#                    netObj = toy_network_ex1, solverPath = solverPath,
+#                    solver = "cplex")
+
+
    +
    + +
    + + +
    +
    +

    Developed by Enio Gjerga, Panuwat Trairatphisan, Anika Liu, Alberto Valdeolivas, Nikolas Peschke.

    +
    + +
    +

    Site built with pkgdown 1.5.1.

    +
    + +
    +
    + + + + + + + + diff --git a/inst/CITATION b/inst/CITATION new file mode 100644 index 00000000..0fc647aa --- /dev/null +++ b/inst/CITATION @@ -0,0 +1,15 @@ +citEntry( + entry="article", + author = c(person("Anika", "Liu"), + person("Panuwat", "Trairatphisan"), + person("Enio", "Gjerga"), + person("Athanasios", "Didangelos"), + person("Jonathan", "Barratt"), + person("Julio", "Saez-Rodriguez")), + title = "From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL", + journal = "npj Systems Biology and Applications", + year = 2019, + doi = "10.1038/s41540-019-0118-z", + + textVersion = "Liu A., Trairatphisan P., Gjerga E. et al. 'From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL.' npj Systems Biology and Applications volume 5, Article number: 40 (2019) (equal contributions)." +) diff --git a/man/figures/graphical_abstract.png b/man/figures/graphical_abstract.png new file mode 100644 index 0000000000000000000000000000000000000000..e8ae41a3f933a286356fc8036c6ab7be9d70a16e GIT binary patch literal 134058 zcmb@u1yodD+c%6NDj=ZX5K<~#LwBhNh;$4c!qD9vN=i#Nh)8!gNH;?_Lw9!#@E!1f z-|M;8dcWs+-fw-g7HiI&*k@nYzWR4<{AHv>G0l^zB3H?(VMS ztj5Dz3+wUcL%1JO^A4T(&$d+}dKhDVP@e5-?7Ck7bGrM;_`C^vaDVjkvk*S={n5K9 zU#7?RM_*|%w4dD{Awga>n6VD+U|RN+ z`o9!3plKrx{(M6=Ha2cV9QKsx^~lM~Pm1?Q^!GHXjmw3lUqyH#et5JjvP`H&lObX& zJH{C`sw_K%=309no;Dx)kV37km#kG=pTG|Y(p6gd*4%_n%9lZx+xr;O`iyj$B^n`8 zhAQ%5Zn9QW^lrPPF-PC(vF};Y@K_sRb$fFyfzPN>b4=yUEZ77aL)3SvF^6(u4nZPf z7TB)limzZ=rFdxdHkhz}2EPTBc^6w-WJwhB4!gaUh@%Pgo|uP?OG~dHO7r&0N0j8n zY=O#F&0JSImzpQJR$R{4w>*v~gTsD|+s*PNJ!>g+_iyf|@IL6McR6FxuG8%bkBoeI 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From 069ced6b2caf4db747cde2713dfb83ba0bdf3973 Mon Sep 17 00:00:00 2001 From: enio23 Date: Wed, 29 Apr 2020 11:31:13 +0200 Subject: [PATCH 03/12] Update README.md update readme --- README.md | 47 ++++++++++++++++++++++++++++++++++++++--------- 1 file changed, 38 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 56273ec1..b7efb6be 100755 --- a/README.md +++ b/README.md @@ -1,14 +1,38 @@ # CARNIVAL -CARNIVAL is an R-package providing a framework to perform causal reasoning to infer a subset of signalling network from transcriptomics data. This work was originally based on [Melas et al.](https://pubs.rsc.org/en/content/articlehtml/2015/ib/c4ib00294f) with a number improved functionalities comparing to the original version. -Transcription factors’ (TFs) activities and pathway scores from gene expressions can be inferred with our in-house tools [DoRothEA](https://github.com/saezlab/DoRothEA) & [PROGENy](https://github.com/saezlab/progeny), respectively. -TFs’ activities and signed directed protein-protein interaction networks +/- drug targets and pathway scores are then used to derive a series of linear constraints to generate integer linear programming (ILP) problems. -An ILP solver (CPLEX) is subsequently applied to identify the sub-network topology with minimised discrepancies on fitting error and model size. +## Overview +CARNIVAL (**CA**usal **R**easoning for **N**etwork identification using **I**nteger **VAL**ue programming) is a method for the identification of upstream reguatory signalling pathways from downstream gene expression (GEX). -More detailed descriptions of CARNIVAL, benchmarking and applicational studies can be found on it's dedicated [web-page](https://saezlab.github.io/CARNIVAL/) and in [Liu, Trairatphisan, Gjerga et al.](https://www.nature.com/articles/s41540-019-0118-z): +This is a tool currently being developed by the [SaezLab](http://saezlab.org/) members and is an extension of the previously implemented Causal Reasoning ([*Melas et al.*](http://pubs.rsc.org/en/content/articlehtml/2015/ib/c4ib00294f)) method. More detailed information on the CARNIVAL pipeline as well as benchmarking and applicational studies are available on following paper. -> Liu A*, Trairatphisan P*, Gjerga E*, Didangelos A, Barratt J, Saez-Rodriguez J. (2019). From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL. *npj Systems Biology and Applications*, https://doi.org/10.1038/s41540-019-0118-z (*equal contributions). +> Liu A., Trairatphisan P., Gjerga E. et al. [From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL](https://www.nature.com/articles/s41540-019-0118-z) _npj Systems Biology and Applications volume 5, Article number: 40 (2019) (equal contributions)_. +The aim of the CARNIVAL pipeline is to identify a subset of interactions from a prior knowledge network that represent potential regulated pathways linking known or potential targets of perturbation towards active transcription factors derived from GEX data. The pipeline includes a number improved functionalities comparing to the original version and consists of the following processes: + + * 1) Transcription factors’ (TFs) activities and pathway scores from gene expressions can be inferred with our in-house tools DoRothEA & PROGENy, respectively. + + * 2) TFs’ activities and signed directed protein-protein interaction networks with or without the provided target of perturbations and pathway scores are then used to derive a series of linear constraints to generate integer linear programming (ILP) problems. + + * 3) An ILP solver (IBM ILOG CPLEX) is subsequently applied to identify the sub-network topology with minimised fitting error and model size. + +Applications of CARNIVAL include the identification of drug’s modes of action and of deregulated processes in diseases (even if the molecular targets remain unknown) by deciphering the alterations of main signalling pathways as well as alternative pathways and off-target effects. + +CARNIVAL workflow + +

    Inputs and Outputs of CARNIVAL
    +
    + +The input for CARNIVAL consists of: + + * A prior knowledge network (PKN) comprises a list of signed and directed interactions between signalling proteins. (Required) + + * Inferred transcription factor activities which can be inferred from GEX data using [DoRothEA](https://github.com/saezlab/dorothea). (Required) + + * A list of target of perturbations (drugs, diseases, etc.) with or without their effects on signalling proteins. (Optional) + + * Inferred pathway scores representing signalling pathway activities from GEX data using [PROGENy](https://github.com/saezlab/progeny) (Optional) + +The outcome of CARNIVAL includes the list of identified networks that fitted to the provided experimental data as well as the predicted activities of signalling proteins in the networks whether they are up- or down-regulated. ## Getting Started @@ -20,7 +44,7 @@ CARNIVAL requires the interactive version of IBM Cplex or CBC-COIN solver as the ### Installing -CARNIVAL is currently available for the installation as an R-package from our GitHub page +CARNIVAL is currently available for the installation as an R-package from our GitHub page. ```R # Install CARNIVAL from Github using devtools @@ -49,14 +73,19 @@ Distributed under the GNU GPLv3 License. See accompanying file [LICENSE.txt](htt > Melas IN, Sakellaropoulos T, Iorio F, Alexopoulos L, Loh WY, Lauffenburger DA, Saez-Rodriguez J, Bai JPF. (2015). Identification of drug-specific pathways based on gene expression data: application to drug induced lung injury. *Integrative Biology*, Issue 7, Pages 904-920, https://doi.org/10.1039/C4IB00294F. -[DoRothEA v2 - Garcia-Alonso et al.](https://www.biorxiv.org/content/early/2018/06/03/337915): +[DoRothEA v2 - Garcia-Alonso et al.](https://genome.cshlp.org/content/29/8/1363.full): -> Garcia-Alonso L, Ibrahim MM, Turei D, Saez-Rodriguez J. (2018). Benchmark and integration of resources for the estimation of human transcription factor activities. *bioRXiv*, https://doi.org/10.1101/337915. +> Garcia-Alonso L, Holland CH, Ibrahim MM, Turei D, Saez-Rodriguez J. (2018). Benchmark and integration of resources for the estimation of human transcription factor activities. *Genome Research* 2019. 29: 1363-1375. [PROGENy - Schubert et al.](https://www.nature.com/articles/s41467-017-02391-6): > Schubert M, Klinger B, Klünemann M, Sieber A, Uhlitz F, Sauer S, Garnett MJ, Blüthgen N, Saez-Rodriguez J. (2018). Perturbation-response genes reveal signaling footprints in cancer gene expression. *Nature Communication*, Issue 9, Nr. 20. https://doi.org/10.1038/s41467-017-02391-6. +## Studies where CARNIVAL was used + +> Buhl E.M. et al. [Dysregulated mesenchymal PDGFR‐β drives kidney fibrosis](https://www.embopress.org/doi/10.15252/emmm.201911021) _EMBO Mol Med (2020)e11021 doi: 10.15252/emmm.201911021_ + +> Binenbaum I. et. al. [Bioinformatic framework for analysis of transcription factor changes as the molecular link between replicative cellular senescence signaling pathways and carcinogenesis](https://link.springer.com/content/pdf/10.1007/s10522-020-09866-y.pdf) _Biogerontology doi: 10.1007/s10522-020-09866-y_ ## Acknowledgement From a56d3cf68b631d6b447909ee103b3edec2258c53 Mon Sep 17 00:00:00 2001 From: Christian Date: Wed, 29 Apr 2020 11:52:03 +0200 Subject: [PATCH 04/12] Updated gh page --- DESCRIPTION | 4 +- NEWS.md | 3 ++ README.md | 69 ++++++++++++++-------------- docs/404.html | 2 +- docs/LICENSE-text.html | 2 +- docs/articles/CARNIVAL.html | 6 +-- docs/articles/index.html | 2 +- docs/authors.html | 2 +- docs/index.html | 81 +++++++++++++++++++++++---------- docs/news/index.html | 9 +++- docs/pkgdown.yml | 2 +- docs/reference/index.html | 2 +- docs/reference/runCARNIVAL.html | 2 +- 13 files changed, 115 insertions(+), 71 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 0a81e986..e7803b9c 100755 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: CARNIVAL Title: A CAusal Reasoning tool for Network Identification (from gene expression data) using Integer VALue programming -Version: 0.99.44 +Version: 1.0.0 Authors@R: c( person(given = "Enio", family = "Gjerga", @@ -37,7 +37,7 @@ Imports: lpSolve, igraph biocViews: Transcriptomics, GeneExpression, Network -License: Apache License (== 3.0) | file LICENSE +License: GPL-3 + file LICENSE LazyData: true Encoding: UTF-8 Suggests: diff --git a/NEWS.md b/NEWS.md index 955a8169..bb5146a7 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,6 @@ +# CARNIVAL 1.0.0 +* Official release with Bioconductor 3.11 + # CARNIVAL 0.99.44 * Deployment of GitHub page diff --git a/README.md b/README.md index b7efb6be..5e263961 100755 --- a/README.md +++ b/README.md @@ -1,11 +1,14 @@ -# CARNIVAL +# CARNIVAL + + + ## Overview CARNIVAL (**CA**usal **R**easoning for **N**etwork identification using **I**nteger **VAL**ue programming) is a method for the identification of upstream reguatory signalling pathways from downstream gene expression (GEX). -This is a tool currently being developed by the [SaezLab](http://saezlab.org/) members and is an extension of the previously implemented Causal Reasoning ([*Melas et al.*](http://pubs.rsc.org/en/content/articlehtml/2015/ib/c4ib00294f)) method. More detailed information on the CARNIVAL pipeline as well as benchmarking and applicational studies are available on following paper. +This is a tool currently being developed by the [saezlab](http://saezlab.org/) members and is an extension of the previously implemented Causal Reasoning ([*Melas et al.*](http://pubs.rsc.org/en/content/articlehtml/2015/ib/c4ib00294f)) method. More detailed information on the CARNIVAL pipeline as well as benchmarking and applicational studies are available on following paper. -> Liu A., Trairatphisan P., Gjerga E. et al. [From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL](https://www.nature.com/articles/s41540-019-0118-z) _npj Systems Biology and Applications volume 5, Article number: 40 (2019) (equal contributions)_. +> Liu A., Trairatphisan P., Gjerga E. et al. [From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL](https://www.nature.com/articles/s41540-019-0118-z) _npj Systems Biology and Applications_ volume 5, Article number: 40 (2019) (equal contributions). The aim of the CARNIVAL pipeline is to identify a subset of interactions from a prior knowledge network that represent potential regulated pathways linking known or potential targets of perturbation towards active transcription factors derived from GEX data. The pipeline includes a number improved functionalities comparing to the original version and consists of the following processes: @@ -17,10 +20,31 @@ The aim of the CARNIVAL pipeline is to identify a subset of interactions from a Applications of CARNIVAL include the identification of drug’s modes of action and of deregulated processes in diseases (even if the molecular targets remain unknown) by deciphering the alterations of main signalling pathways as well as alternative pathways and off-target effects. -CARNIVAL workflow + + +## Getting Started + +A tutorial for preparing CARNIVAL input files starting from differentially gene expression (DEG) and for running the CARNIVAL pipeline are provided as vignettes in R-Markdown, R-script and HTML formats. The wrapper script "runCARNIVAL" was introduced to take input arguments, pre-process input descriptions, run optimisation and export results as network files and figures. Three built-in CARNIVAL examples are also supplied as case studies for users. + +### Prerequisites + +CARNIVAL requires the interactive version of IBM Cplex or CBC-COIN solver as the network optimiser. The IBM ILOG Cplex is freely available through Academic Initiative [here](https://www.ibm.com/products/ilog-cplex-optimization-studio?S_PKG=CoG&cm_mmc=Search_Google-_-Data+Science_Data+Science-_-WW_IDA-_-+IBM++CPLEX_Broad_CoG&cm_mmca1=000000RE&cm_mmca2=10000668&cm_mmca7=9041989&cm_mmca8=kwd-412296208719&cm_mmca9=_k_Cj0KCQiAr93gBRDSARIsADvHiOpDUEHgUuzu8fJvf3vmO5rI0axgtaleqdmwk6JRPIDeNcIjgIHMhZIaAiwWEALw_wcB_k_&cm_mmca10=267798126431&cm_mmca11=b&mkwid=_k_Cj0KCQiAr93gBRDSARIsADvHiOpDUEHgUuzu8fJvf3vmO5rI0axgtaleqdmwk6JRPIDeNcIjgIHMhZIaAiwWEALw_wcB_k_|470|135655&cvosrc=ppc.google.%2Bibm%20%2Bcplex&cvo_campaign=000000RE&cvo_crid=267798126431&Matchtype=b&gclid=Cj0KCQiAr93gBRDSARIsADvHiOpDUEHgUuzu8fJvf3vmO5rI0axgtaleqdmwk6JRPIDeNcIjgIHMhZIaAiwWEALw_wcB). The [CBC](https://projects.coin-or.org/Cbc) solver is open source and freely available for any user. Alternatively for smaller cases, users can rely on the freely available [lpSolve R-package](https://cran.r-project.org/web/packages/lpSolve/index.html). + +### Installation + +```r +# install from bioconductor +if (!requireNamespace("BiocManager", quietly = TRUE)) + install.packages("BiocManager") + +BiocManager::install("CARNIVAL") + +# install the development version from GitHub +# install.packages("devtools") +devtools::install_github("saezlab/CARNIVAL") +``` -
    Inputs and Outputs of CARNIVAL
    -
    +### Inputs and Outputs of CARNIVAL The input for CARNIVAL consists of: @@ -34,50 +58,25 @@ The input for CARNIVAL consists of: The outcome of CARNIVAL includes the list of identified networks that fitted to the provided experimental data as well as the predicted activities of signalling proteins in the networks whether they are up- or down-regulated. -## Getting Started - -A tutorial for preparing CARNIVAL input files starting from differentially gene expression (DEG) and for running the CARNIVAL pipeline are provided as vignettes in R-Markdown, R-script and HTML formats. The wrapper script "runCARNIVAL" was introduced to take input arguments, pre-process input descriptions, run optimisation and export results as network files and figures. Three built-in CARNIVAL examples are also supplied as case studies for users. - -### Prerequisites - -CARNIVAL requires the interactive version of IBM Cplex or CBC-COIN solver as the network optimiser. The IBM ILOG Cplex is freely available through Academic Initiative [here](https://www.ibm.com/products/ilog-cplex-optimization-studio?S_PKG=CoG&cm_mmc=Search_Google-_-Data+Science_Data+Science-_-WW_IDA-_-+IBM++CPLEX_Broad_CoG&cm_mmca1=000000RE&cm_mmca2=10000668&cm_mmca7=9041989&cm_mmca8=kwd-412296208719&cm_mmca9=_k_Cj0KCQiAr93gBRDSARIsADvHiOpDUEHgUuzu8fJvf3vmO5rI0axgtaleqdmwk6JRPIDeNcIjgIHMhZIaAiwWEALw_wcB_k_&cm_mmca10=267798126431&cm_mmca11=b&mkwid=_k_Cj0KCQiAr93gBRDSARIsADvHiOpDUEHgUuzu8fJvf3vmO5rI0axgtaleqdmwk6JRPIDeNcIjgIHMhZIaAiwWEALw_wcB_k_|470|135655&cvosrc=ppc.google.%2Bibm%20%2Bcplex&cvo_campaign=000000RE&cvo_crid=267798126431&Matchtype=b&gclid=Cj0KCQiAr93gBRDSARIsADvHiOpDUEHgUuzu8fJvf3vmO5rI0axgtaleqdmwk6JRPIDeNcIjgIHMhZIaAiwWEALw_wcB). The [CBC](https://projects.coin-or.org/Cbc) solver is open source and freely available for any user. Alternatively for smaller cases, users can rely on the freely available [lpSolve R-package](https://cran.r-project.org/web/packages/lpSolve/index.html). - -### Installing - -CARNIVAL is currently available for the installation as an R-package from our GitHub page. - -```R -# Install CARNIVAL from Github using devtools -# install.packages('devtools') # in case devtools hasn't been installed -library(devtools) -install_github('saezlab/CARNIVAL', build_vignettes = TRUE) -# or download the source file from GitHub and install from source -install.packages('path_to_extracted_CARNIVAL_directory', repos = NULL, type="source") -``` - ## Running CARNIVAL To obtain the list of tutorials/vignettes of the CARNIVAL package, user can start with typing the following commmand on R-console: -```R +```r vignette("CARNIVAL-vignette") ``` -## License - -Distributed under the GNU GPLv3 License. See accompanying file [LICENSE.txt](https://github.com/saezlab/CARNIVAL/blob/master/LICENSE.txt) or copy at [http://www.gnu.org/licenses/gpl-3.0.html](http://www.gnu.org/licenses/gpl-3.0.html). - ## References [Melas et al.](https://pubs.rsc.org/en/content/articlehtml/2015/ib/c4ib00294f): > Melas IN, Sakellaropoulos T, Iorio F, Alexopoulos L, Loh WY, Lauffenburger DA, Saez-Rodriguez J, Bai JPF. (2015). Identification of drug-specific pathways based on gene expression data: application to drug induced lung injury. *Integrative Biology*, Issue 7, Pages 904-920, https://doi.org/10.1039/C4IB00294F. -[DoRothEA v2 - Garcia-Alonso et al.](https://genome.cshlp.org/content/29/8/1363.full): +[DoRothEA - Garcia-Alonso et al.](https://github.com/saezlab/dorothea): -> Garcia-Alonso L, Holland CH, Ibrahim MM, Turei D, Saez-Rodriguez J. (2018). Benchmark and integration of resources for the estimation of human transcription factor activities. *Genome Research* 2019. 29: 1363-1375. +> Garcia-Alonso L, Holland CH, Ibrahim MM, Turei D, Saez-Rodriguez J. (2018). Benchmark and integration of resources for the estimation of human transcription factor activities. *Genome Research* 2019. 29: 1363-1375, https://doi.org/10.1101/gr.240663.118 -[PROGENy - Schubert et al.](https://www.nature.com/articles/s41467-017-02391-6): +[PROGENy - Schubert et al.](https://github.com/saezlab/progeny): > Schubert M, Klinger B, Klünemann M, Sieber A, Uhlitz F, Sauer S, Garnett MJ, Blüthgen N, Saez-Rodriguez J. (2018). Perturbation-response genes reveal signaling footprints in cancer gene expression. *Nature Communication*, Issue 9, Nr. 20. https://doi.org/10.1038/s41467-017-02391-6. diff --git a/docs/404.html b/docs/404.html index 19218068..c3dd198f 100644 --- a/docs/404.html +++ b/docs/404.html @@ -79,7 +79,7 @@     CARNIVAL - 0.99.44 + 1.0.0 diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html index 7ca43f59..1b001296 100644 --- a/docs/LICENSE-text.html +++ b/docs/LICENSE-text.html @@ -79,7 +79,7 @@ CARNIVAL - 0.99.44 + 1.0.0 diff --git a/docs/articles/CARNIVAL.html b/docs/articles/CARNIVAL.html index bc5e4052..95e2b94d 100644 --- a/docs/articles/CARNIVAL.html +++ b/docs/articles/CARNIVAL.html @@ -38,7 +38,7 @@ CARNIVAL - 0.99.44 + 1.0.0 @@ -95,7 +95,7 @@

    Contextualizing large scale signalling networks from expression footprints with CARNIVAL

    Enio Gjerga

    -

    2020-04-28

    +

    2020-04-29

    Source: vignettes/CARNIVAL.Rmd @@ -269,7 +269,7 @@

    ## [1] stats graphics grDevices utils datasets methods base ## ## other attached packages: -## [1] CARNIVAL_0.99.44 knitr_1.28 +## [1] CARNIVAL_1.0.0 knitr_1.28 ## ## loaded via a namespace (and not attached): ## [1] httr_1.4.1 Biobase_2.47.3 mixtools_1.2.0 diff --git a/docs/articles/index.html b/docs/articles/index.html index 57722ce6..ed4c8080 100644 --- a/docs/articles/index.html +++ b/docs/articles/index.html @@ -79,7 +79,7 @@ CARNIVAL - 0.99.44 + 1.0.0 diff --git a/docs/authors.html b/docs/authors.html index aa6bfebc..744e51ba 100644 --- a/docs/authors.html +++ b/docs/authors.html @@ -79,7 +79,7 @@ CARNIVAL - 0.99.44 + 1.0.0 diff --git a/docs/index.html b/docs/index.html index e40d841f..0c5a5275 100644 --- a/docs/index.html +++ b/docs/index.html @@ -39,7 +39,7 @@ CARNIVAL - 0.99.44 + 1.0.0 @@ -94,12 +94,27 @@

    -CARNIVAL

    -

    CARNIVAL is an R-package providing a framework to perform causal reasoning to infer a subset of signalling network from transcriptomics data. This work was originally based on Melas et al. with a number improved functionalities comparing to the original version. Transcription factors’ (TFs) activities and pathway scores from gene expressions can be inferred with our in-house tools DoRothEA & PROGENy, respectively. TFs’ activities and signed directed protein-protein interaction networks +/- drug targets and pathway scores are then used to derive a series of linear constraints to generate integer linear programming (ILP) problems. An ILP solver (CPLEX) is subsequently applied to identify the sub-network topology with minimised discrepancies on fitting error and model size.

    -

    More detailed descriptions of CARNIVAL, benchmarking and applicational studies can be found on it’s dedicated web-page and in Liu, Trairatphisan, Gjerga et al.:

    +CARNIVAL +

    + + +
    +

    +Overview

    +

    CARNIVAL (CAusal Reasoning for Network identification using Integer VALue programming) is a method for the identification of upstream reguatory signalling pathways from downstream gene expression (GEX).

    +

    This is a tool currently being developed by the saezlab members and is an extension of the previously implemented Causal Reasoning (Melas et al.) method. More detailed information on the CARNIVAL pipeline as well as benchmarking and applicational studies are available on following paper.

    -

    Liu A, Trairatphisan P, Gjerga E, Didangelos A, Barratt J, Saez-Rodriguez J. (2019). From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL. npj Systems Biology and Applications, https://doi.org/10.1038/s41540-019-0118-z (equal contributions).

    +

    Liu A., Trairatphisan P., Gjerga E. et al. From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL npj Systems Biology and Applications volume 5, Article number: 40 (2019) (equal contributions).

    +

    The aim of the CARNIVAL pipeline is to identify a subset of interactions from a prior knowledge network that represent potential regulated pathways linking known or potential targets of perturbation towards active transcription factors derived from GEX data. The pipeline includes a number improved functionalities comparing to the original version and consists of the following processes:

    +
      +

    • 1) Transcription factors’ (TFs) activities and pathway scores from gene expressions can be inferred with our in-house tools DoRothEA & PROGENy, respectively.

      • +

    • 2) TFs’ activities and signed directed protein-protein interaction networks with or without the provided target of perturbations and pathway scores are then used to derive a series of linear constraints to generate integer linear programming (ILP) problems.

      • +

    • 3) An ILP solver (IBM ILOG CPLEX) is subsequently applied to identify the sub-network topology with minimised fitting error and model size.

      • +
    +

    Applications of CARNIVAL include the identification of drug’s modes of action and of deregulated processes in diseases (even if the molecular targets remain unknown) by deciphering the alterations of main signalling pathways as well as alternative pathways and off-target effects.

    +

    +

    Getting Started

    @@ -109,16 +124,30 @@

    Prerequisites

    CARNIVAL requires the interactive version of IBM Cplex or CBC-COIN solver as the network optimiser. The IBM ILOG Cplex is freely available through Academic Initiative here. The CBC solver is open source and freely available for any user. Alternatively for smaller cases, users can rely on the freely available lpSolve R-package.

    -
    +

    -Installing

    -

    CARNIVAL is currently available for the installation as an R-package from our GitHub page

    -
    # Install CARNIVAL from Github using devtools
-# install.packages('devtools') # in case devtools hasn't been installed
-library(devtools)
-install_github('saezlab/CARNIVAL', build_vignettes = TRUE)
-# or download the source file from GitHub and install from source
-install.packages('path_to_extracted_CARNIVAL_directory', repos = NULL, type="source")
    +Installation
    • +
    + + + + +
    + +
    +
    +
    +

    Changelog

    + Source: NEWS.md +
    + +
    +

    +CARNIVAL 0.99.44

    +
      +
    • Deployment of GitHub page
      • +
    +
    +
    +

    +CARNIVAL 0.99.0

    +
      +
    • Initial submission to Bioconductor
      • +
    +
    +
    + + + +
    + + +
    +
    +

    Developed by Enio Gjerga, Panuwat Trairatphisan, Anika Liu, Alberto Valdeolivas, Nikolas Peschke.

    +
    + +
    +

    Site built with pkgdown 1.5.1.

    +
    + +
    +

    +
    # install from bioconductor
+if (!requireNamespace("BiocManager", quietly = TRUE))
+    install.packages("BiocManager")
+
+BiocManager::install("CARNIVAL")
+
+# install the development version from GitHub
+# install.packages("devtools")
+devtools::install_github("saezlab/CARNIVAL")
    + +
    +

    +Inputs and Outputs of CARNIVAL

    +

    The input for CARNIVAL consists of:

    +
      +

    • A prior knowledge network (PKN) comprises a list of signed and directed interactions between signalling proteins. (Required)

      • +

    • Inferred transcription factor activities which can be inferred from GEX data using DoRothEA. (Required)

      • +

    • A list of target of perturbations (drugs, diseases, etc.) with or without their effects on signalling proteins. (Optional)

      • +

    • Inferred pathway scores representing signalling pathway activities from GEX data using PROGENy (Optional)

      • +
    +

    The outcome of CARNIVAL includes the list of identified networks that fitted to the provided experimental data as well as the predicted activities of signalling proteins in the networks whether they are up- or down-regulated.

    @@ -127,11 +156,6 @@

    To obtain the list of tutorials/vignettes of the CARNIVAL package, user can start with typing the following commmand on R-console:

    vignette("CARNIVAL-vignette")

    -
    -

    -License

    -

    Distributed under the GNU GPLv3 License. See accompanying file LICENSE.txt or copy at http://www.gnu.org/licenses/gpl-3.0.html.

    -

    References

    @@ -139,15 +163,25 @@

    Melas IN, Sakellaropoulos T, Iorio F, Alexopoulos L, Loh WY, Lauffenburger DA, Saez-Rodriguez J, Bai JPF. (2015). Identification of drug-specific pathways based on gene expression data: application to drug induced lung injury. Integrative Biology, Issue 7, Pages 904-920, https://doi.org/10.1039/C4IB00294F.

    -

    DoRothEA v2 - Garcia-Alonso et al.:

    +

    DoRothEA - Garcia-Alonso et al.:

    -

    Garcia-Alonso L, Ibrahim MM, Turei D, Saez-Rodriguez J. (2018). Benchmark and integration of resources for the estimation of human transcription factor activities. bioRXiv, https://doi.org/10.1101/337915.

    +

    Garcia-Alonso L, Holland CH, Ibrahim MM, Turei D, Saez-Rodriguez J. (2018). Benchmark and integration of resources for the estimation of human transcription factor activities. Genome Research 2019. 29: 1363-1375, https://doi.org/10.1101/gr.240663.118

    -

    PROGENy - Schubert et al.:

    +

    PROGENy - Schubert et al.:

    Schubert M, Klinger B, Klünemann M, Sieber A, Uhlitz F, Sauer S, Garnett MJ, Blüthgen N, Saez-Rodriguez J. (2018). Perturbation-response genes reveal signaling footprints in cancer gene expression. Nature Communication, Issue 9, Nr. 20. https://doi.org/10.1038/s41467-017-02391-6.

    +
    +

    +Studies where CARNIVAL was used

    +
    +

    Buhl E.M. et al. Dysregulated mesenchymal PDGFR‐β drives kidney fibrosis EMBO Mol Med (2020)e11021 doi: 10.15252/emmm.201911021

    +
    +
    +

    Binenbaum I. et. al. Bioinformatic framework for analysis of transcription factor changes as the molecular link between replicative cellular senescence signaling pathways and carcinogenesis Biogerontology doi: 10.1007/s10522-020-09866-y

    +
    +

    Acknowledgement

    @@ -172,7 +206,8 @@

    Links

    License

    diff --git a/docs/news/index.html b/docs/news/index.html index e9a1efc7..41ef5052 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -79,7 +79,7 @@ CARNIVAL - 0.99.44 + 1.0.0
    @@ -137,6 +137,13 @@

    Changelog

    Source: NEWS.md +
    +

    +CARNIVAL 1.0.0

    +
      +
    • Official release with Bioconductor 3.11
      • +
    +

    CARNIVAL 0.99.44

    diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index d8916f54..60a3d8a3 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -3,5 +3,5 @@ pkgdown: 1.5.1 pkgdown_sha: ~ articles: CARNIVAL: CARNIVAL.html -last_built: 2020-04-28T20:10Z +last_built: 2020-04-29T09:51Z diff --git a/docs/reference/index.html b/docs/reference/index.html index d9cc0a35..b2888130 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -79,7 +79,7 @@ CARNIVAL - 0.99.44 + 1.0.0
    diff --git a/docs/reference/runCARNIVAL.html b/docs/reference/runCARNIVAL.html index caae6660..acf33af9 100644 --- a/docs/reference/runCARNIVAL.html +++ b/docs/reference/runCARNIVAL.html @@ -81,7 +81,7 @@ CARNIVAL - 0.99.44 + 1.0.0 From 274e1d60b647ca71c5c1921976ea6d4ccb8f4c62 Mon Sep 17 00:00:00 2001 From: enio23 Date: Wed, 8 Jul 2020 09:57:41 +0200 Subject: [PATCH 05/12] Update maintainer of the package Aurelien as the maintainer of the package + some changes in authorship and contributions --- DESCRIPTION | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index e7803b9c..54dabde5 100755 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,10 +1,10 @@ Package: CARNIVAL Title: A CAusal Reasoning tool for Network Identification (from gene expression data) using Integer VALue programming -Version: 1.0.0 +Version: 1.0.1 Authors@R: c( person(given = "Enio", family = "Gjerga", - role = c("cre", "aut"), + role = c("aut"), email = "enio.gjerga@gmail.com", comment = c(ORCID = "0000-0002-3060-5786")), person(given = "Panuwat", @@ -12,13 +12,17 @@ Authors@R: c( role = "aut"), person(given = "Anika", family = "Liu", - role = "aut"), + role = "ctb"), person(given = "Alberto", family = "Valdeolivas", - role = "aut"), + role = "ctb"), person(given = "Nikolas", family = "Peschke", - role = "aut") + role = "ctb"), + person(given = "Aurelien", + family = "Dugourd", + role = "cre", + email = "adugourd@ukaachen.de") ) Description: An upgraded causal reasoning tool from Melas et al in R with updated assignments of TFs' weights from PROGENy scores. Optimization parameters can be freely adjusted and multiple solutions can be obtained and aggregated. From 37156ed273b1d4a8f1f58d59cd2a5f0e40bbe28b Mon Sep 17 00:00:00 2001 From: Christian Date: Tue, 21 Jul 2020 14:52:43 +0200 Subject: [PATCH 06/12] Updated author roles --- docs/404.html | 4 +- docs/LICENSE-text.html | 4 +- docs/articles/CARNIVAL.html | 70 +++++++++---------- .../empty-anchor.js | 15 ++++ docs/articles/index.html | 4 +- docs/authors.html | 16 +++-- docs/index.html | 21 +++--- docs/news/index.html | 16 ++--- docs/pkgdown.yml | 4 +- docs/reference/index.html | 4 +- docs/reference/runCARNIVAL.html | 4 +- 11 files changed, 90 insertions(+), 72 deletions(-) create mode 100644 docs/articles/CARNIVAL_files/accessible-code-block-0.0.1/empty-anchor.js diff --git a/docs/404.html b/docs/404.html index c3dd198f..31250e2a 100644 --- a/docs/404.html +++ b/docs/404.html @@ -79,7 +79,7 @@ CARNIVAL - 1.0.0 + 1.0.1 @@ -152,7 +152,7 @@

    Contents