Package: SVAPLSseq
Type: Package
Title: SVAPLSseq-An R package to estimate the hidden factors of
        unwanted variability and adjust for them to enable a more
        powerful and accurate differential expression analysis based on
        RNAseq data
Description: The package contains functions that are intended for 
	  extracting the signatures of latent variation in RNAseq data
	  and using them to perform an improved differential expression
    	  analysis for a set of features (genes, transcripts) between
	  two specified biological groups.	 
Version: 1.10.0
Date: 2017-05-31
Author: Sutirtha Chakraborty
Maintainer: Sutirtha Chakraborty <sutirtha_sutir@yahoo.co.in>
Depends: R (>= 3.4)
Imports: methods, stats, SummarizedExperiment, edgeR, ggplot2, limma,
        lmtest, parallel, pls
Suggests: BiocStyle
License: GPL-3
biocViews: ImmunoOncology, GeneExpression, RNASeq, Normalization,
        BatchEffect
Collate: AllClasses.R AllGenerics.R Methods.R svplsSurr.R svplsTest.R
NeedsCompilation: no
RoxygenNote: 6.0.1
git_url: https://git.bioconductor.org/packages/SVAPLSseq
git_branch: RELEASE_3_9
git_last_commit: c304927
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
Packaged: 2019-05-03 04:22:01 UTC; biocbuild
Built: R 3.6.0; ; 2019-05-03 14:31:52 UTC; windows
