GISPA

DOI: 10.18129/B9.bioc.GISPA    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see GISPA.

GISPA: Method for Gene Integrated Set Profile Analysis

Bioconductor version: 3.13

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>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GISPA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("GISPA")

 

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

Details

biocViews	GeneSetEnrichment, GenomeWideAssociation, Software, StatisticalMethod
Version	1.16.0
In Bioconductor since	BioC 3.5 (R-3.4) (4.5 years)
License	GPL-2
Depends	R (>= 3.5)
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
Links To Me
Build Report

Package Archives

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

Source Package	GISPA_1.16.0.tar.gz
Windows Binary	GISPA_1.16.0.zip
macOS 10.13 (High Sierra)	GISPA_1.16.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GISPA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/GISPA
Package Short Url	https://bioconductor.org/packages/GISPA/
Package Downloads Report	Download Stats