To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("rgsepd")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.1
R/GSEPD is a bioinformatics package for R to help disambiguate transcriptome samples (a matrix of RNA-Seq counts at RefSeq IDs) by automating differential expression (with DESeq2), then gene set enrichment (with GOSeq), and finally a N-dimensional projection to quantify in which ways each sample is like either treatment group.
Author: Karl Stamm
Maintainer: Karl Stamm <karl.stamm at gmail.com>
Citation (from within R,
enter citation("rgsepd")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("rgsepd")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("rgsepd")
R Script | An Introduction to the rgsepd package | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneSetEnrichment, RNASeq, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (< 6 months) |
License | GPL-3 |
Depends | R (>= 3.0.0), DESeq2, goseq(>= 1.17) |
Imports | gplots, biomaRt, org.Hs.eg.db, GO.db, GenomicRanges, hash, AnnotationDbi |
LinkingTo | |
Suggests | boot, tools, RUnit, BiocGenerics, knitr, xtable |
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 | rgsepd_1.0.0.tar.gz |
Windows Binary | rgsepd_1.0.0.zip |
Mac OS X 10.6 (Snow Leopard) | rgsepd_1.0.0.tgz |
Mac OS X 10.9 (Mavericks) | rgsepd_1.0.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/rgsepd/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/rgsepd/ |
Package Downloads Report | Download Stats |
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