To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("SVAPLSseq")

In most cases, you don't need to download the package archive at all.

SVAPLSseq

DOI: 10.18129/B9.bioc.SVAPLSseq    

SVAPLSseq-An R package to adjust for the hidden factors of variability in differential gene expression studies based on RNAseq data

Bioconductor version: Release (3.5)

The package contains functions that are intended for the identification of differentially expressed genes between two groups of samples from RNAseq data after adjusting for various hidden biological and technical factors of variability.

Author: Sutirtha Chakraborty

Maintainer: Sutirtha Chakraborty <sutirtha_sutir at yahoo.co.in>

Citation (from within R, enter citation("SVAPLSseq")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("SVAPLSseq")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SVAPLSseq")

 

PDF R Script SVAPLSseq tutorial
PDF   Reference Manual
Text   NEWS

Details

biocViews BatchEffect, GeneExpression, Normalization, RNASeq, Software
Version 1.2.0
In Bioconductor since BioC 3.4 (R-3.3) (1 year)
License GPL-3
Depends R (>= 3.3)
Imports methods, stats, SummarizedExperiment, edgeR, ggplot2, limma, lmtest, parallel, pls
LinkingTo
Suggests BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source SVAPLSseq_1.2.0.tar.gz
Windows Binary SVAPLSseq_1.2.0.zip
Mac OS X 10.11 (El Capitan) SVAPLSseq_1.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/SVAPLSseq
Package Short Url http://bioconductor.org/packages/SVAPLSseq/
Package Downloads Report Download Stats

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