omics, RGCCA, multi-block
analysis, correlation, visualisation
Performs multi-variate analysis (PCA, CCA, PLS, R/SGCCA, etc.) and produces textual and graphical outputs (e.g. variables and individuals plots).
A user-friendly multi-blocks analysis (Regularized Generalized Canonical Correlation Analysis, RGCCA) with all default settings predefined. The software produces figures to explore the analysis' results: individuals and variables projected on two components of the multi-block analysis, list of top variables and explained variance in the model.
More information about:
conda create -n rgcca -c icm-iconics rgcca-launcher
conda activate rgcca && \
cd ${CONDA_PREFIX} && \
wget https://raw.githubusercontent.com/BrainAndSpineInstitute/rgcca_Rpackage/master/inst/extdata/agriculture.tsv && \
Rscript R/launcher.R -d agriculture.tsv
More information about the command-line parameters here.