Surrogate variable analysis using partial least squares in a gene expression study.

Documentation for package ‘svapls’ version 1.4

svapls-package	Surrogate variable analysis using Partial Least Squares in a gene expression data
fitModel	Function to fit an ANCOVA model to the log transformed gene expression data, with a certain specified number of surrogate variables.
hfp	Function to construct a heatmap of the hidden variation in the gene expression data.
hidden_fac.dat	A gene expression data affected by a hidden variable.
svapls	Surrogate variable analysis using Partial Least Squares in a gene expression data
svpls	Function for identfying the optimal ANCOVA model and detecting the genes that are truly differentially expressed between the two types of samples.