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.
Bioconductor version: Release (3.4)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SVAPLSseq")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SVAPLSseq")
R Script | SVAPLSseq tutorial | |
Reference Manual | ||
Text | NEWS |
biocViews | BatchEffect, GeneExpression, Normalization, RNASeq, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (0.5 years) |
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 |
Follow Installation instructions to use this package in your R session.
Package Source | SVAPLSseq_1.0.0.tar.gz |
Windows Binary | SVAPLSseq_1.0.0.zip |
Mac OS X 10.9 (Mavericks) | SVAPLSseq_1.0.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/SVAPLSseq/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/SVAPLSseq/ |
Package Downloads Report | Download Stats |
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