This package is for version 3.10 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see SVAPLSseq.
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 dataBioconductor version: 3.10
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.
Author: Sutirtha Chakraborty
Maintainer: Sutirtha Chakraborty <sutirtha_sutir at yahoo.co.in>
Citation (from within R, entercitation("SVAPLSseq")
): Installation
To install this package, start R (version "3.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SVAPLSseq")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SVAPLSseq")
Details biocViews BatchEffect, GeneExpression, ImmunoOncology, Normalization, RNASeq, Software Version 1.12.0 In Bioconductor since BioC 3.4 (R-3.3) (7.5 years) License GPL-3 Depends R (>= 3.4) Imports methods, stats, SummarizedExperiment, edgeR, ggplot2, limma, lmtest, parallel, pls System Requirements URL See More Suggests BiocStyle Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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