scPCA: A toolbox for sparse contrastive principal component analysis in R

Abstract

scPCA is a toolbox for sparse contrastive principal component analysis of high-dimensional biological data. scPCA combines the stability and interpretability of sparse PCA with contrastive PCA’s ability to disentangle biological signal from techical noise through the use of control data. cPCA is also implemented and extended.

Publication
In Journal of Open Source Software