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    

This is the development version of GISPA; for the stable release version, see GISPA.

GISPA: Method for Gene Integrated Set Profile Analysis

Bioconductor version: Development (3.7)

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

biocViews GeneSetEnrichment, GenomeWideAssociation, Software, StatisticalMethod
Version 1.3.0
In Bioconductor since BioC 3.5 (R-3.4) (0.5 years)
License GPL-2
Depends R (>= 3.3.2)
Imports Biobase, changepoint, data.table, genefilter, graphics, GSEABase, HH, lattice, latticeExtra, plyr, scatterplot3d, stats
LinkingTo
Suggests knitr
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.

Source Package GISPA_1.3.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan) GISPA_1.3.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GISPA
Package Short Url http://bioconductor.org/packages/GISPA/
Package Downloads Report Download Stats

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