plot_cca_loadings: Title: Plot regularized canonical correlation analysis...

In graeberlab-ucla/glab.library: Data Analysis Functions

Title: Plot regularized canonical correlation analysis loadings edited from Estelle's https://github.com/estelleyao0530/Canonical_Correlation_Function

Description

Input Projected loading score from matrix A & B run.cca output WGCNA modules for matrix A & B

Usage

plot_cca_loadings(projx, projy, modulecolor, modulecolor2, number_plot, name)

Arguments

projx	file, from run_cca output; matrix A loadings
projy	file, from run_cca output; matrix B loadings
modulecolor	file, wgcna module; variable cluster specification for matrix A
modulecolor2	file, wgcna module; variable cluster specification for matrix B
number_plot	int, numbers of component to plot
name	string, name of output files

Details

Output: Scatter plots from specified number of components for matrix A Scatter plots from specified number of components for matrix B

Note: 1) projected loading avoids collinearity of loadings 2) variables (drugs, genes) are colored with wgcna modules; a two column dataframe - variables in col1, modulecolor in col2

graeberlab-ucla/glab.library documentation built on Oct. 28, 2024, 10:48 a.m.