From e6a58b3d2cc98c4dbfc529c8106674d8fde47309 Mon Sep 17 00:00:00 2001 From: YPP Date: Mon, 11 Mar 2024 23:48:50 -0700 Subject: [PATCH] lect16 --- lect16-scRNA-technology/Makefile | 12 + lect16-scRNA-technology/Setup.R | 231 +++ .../lect16-scRNA-technology-combined.pdf | Bin 0 -> 16972641 bytes .../lect16-scRNA-technology.Rmd | 1597 +++++++++++++++++ 4 files changed, 1840 insertions(+) create mode 100644 lect16-scRNA-technology/Makefile create mode 100644 lect16-scRNA-technology/Setup.R create mode 100644 lect16-scRNA-technology/lect16-scRNA-technology-combined.pdf create mode 100644 lect16-scRNA-technology/lect16-scRNA-technology.Rmd diff --git a/lect16-scRNA-technology/Makefile b/lect16-scRNA-technology/Makefile new file mode 100644 index 0000000..7d7d5ed --- /dev/null +++ b/lect16-scRNA-technology/Makefile @@ -0,0 +1,12 @@ +RMD := $(wildcard *.rmd) $(wildcard *.Rmd) +PDF := $(RMD:.rmd=-slides.pdf) $(RMD:.Rmd=-beamer.pdf) +HTML := $(RMD:.rmd=.html) $(RMD:.Rmd=.html) +TEX := $(RMD:.rmd=.tex) $(RMD:.Rmd=.tex) + +all: $(PDF) + +clean: + rm -f $(PDF) + +%-beamer.pdf: %.Rmd + Rscript -e "rmarkdown::render('$<', output_format='beamer_presentation', output_file='$@');" diff --git a/lect16-scRNA-technology/Setup.R b/lect16-scRNA-technology/Setup.R new file mode 100644 index 0000000..7e7da7f --- /dev/null +++ b/lect16-scRNA-technology/Setup.R @@ -0,0 +1,231 @@ +options(stringsAsFactors = FALSE) + +`%&%` <- function(a,b) paste0(a, b) +`%r%` <- function(mat,rr) mat[rr, , drop = FALSE] +`%c%` <- function(mat,cc) mat[, cc, drop = FALSE] + +library(tidyverse) +library(data.table) +library(ggrepel) + +num.int <- function(...) format(..., justify="none", big.mark=",", drop0trailing = TRUE) + +num.sci <- function(...) format(..., justify="none", digits=2, scientific = TRUE) + +row.order <- function(mat) { + require(cba) + require(proxy) + + if(nrow(mat) < 3) { + return(1:nrow(mat)) + } + + D = proxy::dist(mat, method <- function(a,b) 1 - cor(a,b, method = 'spearman')) + D[!is.finite(D)] = 0 + h.out = hclust(D) + o.out = cba::order.optimal(D, h.out$merge) + return(o.out$order) +} + +col.order <- function(pair.tab, .ro, ret.tab = FALSE) { + + M = pair.tab %>% + dplyr::select(row, col, weight) %>% + dplyr::mutate(row = factor(row, .ro)) %>% + tidyr::spread(key = col, value = weight, fill = 0) + + co = order(apply(M[, -1], 2, which.max), decreasing = TRUE) + .co = colnames(M)[-1][co] + if(ret.tab) { + ret = pair.tab %>% + dplyr::mutate(row = factor(row, .ro)) %>% + dplyr::mutate(col = factor(col, .co)) + } else { + ret = .co + } + return(ret) +} + +order.pair <- function(pair.tab, ret.tab=FALSE) { + + require(tidyr) + require(dplyr) + + .tab = pair.tab %>% dplyr::select(row, col, weight) + + M = .tab %>% tidyr::spread(key = col, value = weight, fill = 0) + rr = M[, 1] %>% unlist(use.names = FALSE) + cc = colnames(M)[-1] %>% unlist(use.names = FALSE) + + ## log.msg('Built the Mat: %d x %d', nrow(M), ncol(M)) + ro = row.order(M %>% dplyr::select(-row) %>% as.matrix()) + + ## log.msg('Sort the rows: %d', length(ro)) + co = order(apply(M[ro, -1], 2, which.max), decreasing = TRUE) + + ## co = row.order(t(M %>% dplyr::select(-row) %>% as.matrix())) + ## log.msg('Sort the columns: %d', length(co)) + + if(ret.tab){ + ret = pair.tab %>% + dplyr::mutate(row = factor(row, rr[ro])) %>% + dplyr::mutate(col = factor(col, cc[co])) + } else { + ret = list(rows = rr[ro], cols = cc[co], M = M) + } + + return(ret) +} + + +.sort.matrix <- function(.X) { + as.matrix(.X) %>% + reshape2::melt() %>% + rename(row = Var1, col = Var2, weight = value) %>% + order.pair(ret.tab=TRUE) %>% + as.data.table %>% + dcast(row ~ col, value.var = "weight") %>% + dplyr::select(-row) %>% + as.matrix +} + +.rnorm <- function(d1, d2) { + matrix(rnorm(d1 * d2), d1, d2) +} + +############################################################### +.matshow <- function(.mat, .lab=0, .axis.lab=0, .lw=0, .scale=TRUE) { + + library(ggrastr) + + .mat <- as.matrix(.mat) + .cols <- colnames(.mat) + .rows <- rownames(.mat) + if(length(.cols) < ncol(.mat)){ + colnames(.mat) <- str_c("c", 1:ncol(.mat)) + } + if(length(.rows) < nrow(.mat)){ + rownames(.mat) <- str_c("r", 1:nrow(.mat)) + } + .cols <- colnames(.mat) + .rows <- rownames(.mat) + + .dt <- + as.data.frame(.mat) %>% + rownames_to_column("row") %>% + as.data.table %>% + melt(id.vars = "row", variable.name = "col") %>% + dplyr::mutate(row = factor(as.character(row), rev(.rows))) %>% + dplyr::mutate(col = factor(as.character(col), .cols)) + + ret <- + ggplot(.dt, aes(y = row, x = col, fill = value)) + + theme(legend.position = "none") + if(.axis.lab > 0){ + ret <- + ret + + theme(axis.text.x = element_text(size=.axis.lab, angle=90, vjust=1, hjust=1)) + + theme(axis.text.y = element_text(size=.axis.lab)) + } else { + ret <- + ret + + theme(axis.text = element_blank()) + + theme(axis.ticks = element_blank()) + } + ret <- ret + + theme(axis.title = element_blank()) + + if(.lw > 0){ + ret <- ret + + ggrastr::rasterise(geom_tile(linewidth = .lw, colour = "black"), dpi=300) + } else { + ret <- ret + ggrastr::rasterise(geom_tile(), dpi=300) + } + + if(.scale){ + ret <- ret + + scale_fill_distiller(palette = "RdBu", direction = -1) + } else { + ret <- ret + + scale_fill_distiller(palette = "Greys", direction = 1) + } + + if(.lab > 0) { + ret <- ret + + geom_text(aes(label = round(value,1)), size = .lab) + } + + return(ret) +} + +################################################################ +.gg.plot <- function(...) { + ggplot(...) + + theme_classic() + + theme(axis.title = element_text(size=8)) + + theme(axis.text = element_text(size=6)) + + theme(legend.spacing = unit(.1, "lines"), + legend.key.size = unit(.5, "lines"), + legend.text = element_text(size=5), + legend.title = element_text(size=6), + panel.background = element_rect(fill='transparent'), + plot.background = element_rect(fill='transparent', color=NA), + legend.background = element_rect(fill='transparent', size=0.05), + legend.box.background = element_rect(fill='transparent')) +} + +as.dt <- function(x, col.names=NULL) { + .mat <- as.matrix(x) + if(is.null(col.names)) col.names <- str_c("V",1:ncol(.mat)) + colnames(.mat) <- col.names + as.data.table(.mat) +} + +################################################################ +if.needed <- function(.file, .code) { + if(!all(file.exists(unlist(.file)))){ .code } + stopifnot(all(file.exists(unlist(.file)))) +} + +################################################################ +setup.env <- function(fig.dir) { + + ## save figures here + dir.create(fig.dir, showWarnings = FALSE, recursive = TRUE) + knitr::opts_chunk$set(warning = FALSE, message = FALSE, fig.path = fig.dir) + knitr::opts_chunk$set(echo=FALSE, fig.align="center") + + ## allow the code to chunk set size="tiny" ## + hook.chunk <- knitr::knit_hooks$get("chunk") + + ## Default: normalsize -> scriptsize + ## This will redefine normalsize + knitr::knit_hooks$set(chunk = function(x, options) { + x <- hook.chunk(x, options) + ifelse(options$size != "normalsize", + paste0("\n \\", options$size, "\n\n", x, "\n\n \\normalsize"), + paste0("\n \\", "scriptsize", "\n\n", x, "\n\n \\normalsize")) + }) + + ## show plot one by one in beamer ## + hook.plot <- knitr::knit_hooks$get("plot") + + knitr::knit_hooks$set(plot = function(x, options) { + if (!is.null(options$onslide.plot)) { + bf <- paste0("\\onslide<", options$onslide.plot, ">{") + ret <- paste(c(bf, knitr::hook_plot_tex(x, options), "}"), + collapse = "\n") + return(ret) + } else if (!is.null(options$only.plot)) { + bf <- paste0("\\only<", options$only.plot, ">{") + ret <- paste(c(bf, knitr::hook_plot_tex(x, options), "}"), + collapse = "\n") + return(ret) + } + return(hook.plot(x, options)) + }) + + knitr::opts_chunk$set(tidy.opts = list(width.cutoff = 60), tidy = TRUE) + knitr::opts_chunk$set(dev = "cairo_pdf") +} + diff --git a/lect16-scRNA-technology/lect16-scRNA-technology-combined.pdf 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