To install this package, start R and enter:

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

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

GISPA

DOI: 10.18129/B9.bioc.GISPA

GISPA: Method for Gene Integrated Set Profile Analysis

Bioconductor version: Release (3.5)

GISPA is a method intended for the researchers who are interested in defining gene sets with similar, a priori specified molecular profile. GISPA method has been previously published in Nucleic Acid Research (Kowalski et al., 2016; PMID: 26826710).

Author: Bhakti Dwivedi and Jeanne Kowalski

Maintainer: Bhakti Dwivedi <bhakti.dwivedi at emory.edu>

Citation (from within R, enter citation("GISPA")):

Installation

To install this package, start R and enter:

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

Documentation

HTML R Script GISPA:Method for Gene Integrated Set Profile Analysis
PDF Reference Manual
Text NEWS

Details

Version 1.0.0
In Bioconductor since BioC 3.5 (R-3.4) (0.5 years)
License GPL-2
Depends R (>= 3.3.2)
LinkingTo
Suggests knitr
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Source Package GISPA_1.0.0.tar.gz
Windows Binary GISPA_1.0.0.zip
Mac OS X 10.11 (El Capitan) GISPA_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GISPA
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