To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("sRAP")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.4)
This package provides a pipeline for gene expression analysis (primarily for RNA-Seq data). The normalization function is specific for RNA-Seq analysis, but all other functions (Quality Control Figures, Differential Expression and Visualization, and Functional Enrichment via BD-Func) will work with any type of gene expression data.
Author: Charles Warden
Maintainer: Charles Warden <cwarden45 at gmail.com>
Citation (from within R,
enter citation("sRAP")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("sRAP")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("sRAP")
R Script | sRAP Vignette | |
Reference Manual |
biocViews | DifferentialExpression, GO, GeneExpression, GeneSetEnrichment, Microarray, Preprocessing, QualityControl, RNAseq, Software, Statistics, Visualization |
Version | 1.14.0 |
In Bioconductor since | BioC 2.13 (R-3.0) (3.5 years) |
License | GPL-3 |
Depends | WriteXLS |
Imports | gplots, pls, ROCR, qvalue |
LinkingTo | |
Suggests | |
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 | sRAP_1.14.0.tar.gz |
Windows Binary | sRAP_1.14.0.zip |
Mac OS X 10.9 (Mavericks) | sRAP_1.14.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/sRAP/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/sRAP/ |
Package Downloads Report | Download Stats |
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