Bioconductor version: Release (3.16)
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")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("GISPA")
For older versions of R, please refer to the appropriate Bioconductor release.
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 |
Reference Manual | ||
Text | NEWS |
biocViews | GeneSetEnrichment, GenomeWideAssociation, Software, StatisticalMethod |
Version | 1.22.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (6 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 |
Follow Installation instructions to use this package in your R session.
Source Package | GISPA_1.22.0.tar.gz |
Windows Binary | GISPA_1.22.0.zip (64-bit only) |
macOS Binary (x86_64) | GISPA_1.22.0.tgz |
macOS Binary (arm64) | GISPA_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GISPA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GISPA |
Bioc Package Browser | https://code.bioconductor.org/browse/GISPA/ |
Package Short Url | https://bioconductor.org/packages/GISPA/ |
Package Downloads Report | Download Stats |
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