To install this package, start R and enter:

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

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

rgsepd

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see rgsepd.

Gene Set Enrichment / Projection Displays

Bioconductor version: 3.4

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")):

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("rgsepd")
PDF R Script An Introduction to the rgsepd package
PDF Reference Manual
Text NEWS

Details

Version 1.6.0
In Bioconductor since BioC 3.1 (R-3.2) (2 years)
License GPL-3
Depends R (>= 3.3.0), DESeq2, goseq(>= 1.17)
LinkingTo
Suggests boot, tools, RUnit, BiocGenerics, knitr, xtable
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source rgsepd_1.6.0.tar.gz
Windows Binary rgsepd_1.6.0.zip
Mac OS X 10.9 (Mavericks) rgsepd_1.6.0.tgz
Package Downloads Report Download Stats

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