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
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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 |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | GeneSetEnrichment, GenomeWideAssociation, Software, StatisticalMethod |
| Version | 1.0.0 |
| 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_1.0.0.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 |
| Package Short Url | http://bioconductor.org/packages/GISPA/ |
| Package Downloads Report | Download Stats |
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