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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
|
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see SVAPLSseq.
SVAPLSseq-An R package to adjust for the hidden factors of variability in differential gene expression studies based on RNAseq data
Bioconductor version: 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")):
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")
| R Script | SVAPLSseq tutorial | |
| Reference Manual | ||
| Text | NEWS |
Details
| 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 |
Package Archives
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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