PhilBoileau/scPCA: Sparse Contrastive Principal Component Analysis
A toolbox for sparse contrastive principal component analysis (scPCA) of high-dimensional biological data. scPCA combines the stability and interpretability of sparse PCA with contrastive PCA's ability to disentangle biological signal from unwanted variation through the use of control data. Also implements and extends cPCA.
Getting started
Browse package contents
Package details |
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| Bioconductor views | DifferentialExpression GeneExpression Microarray PrincipalComponent RNASeq Sequencing |
| Maintainer | |
| License | MIT + file LICENSE |
| Version | 1.17.0 |
| URL | https://github.com/PhilBoileau/scPCA |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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