To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SISPA")
In most cases, you don't need to download the package archive at all.
This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see SISPA.
Bioconductor version: 3.2
Sample Integrated Gene Set Analysis (SISPA) is a method designed to define sample groups with similar gene set enrichment profiles.
Author: Bhakti Dwivedi Ph.D. & Jeanne Kowalski Ph.D.
Maintainer: Bhakti Dwivedi <bhakti.dwivedi at emory.edu>
Citation (from within R,
enter citation("SISPA")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SISPA")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SISPA")
HTML | replace me with the vignette title | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneSetEnrichment, GenomeWideAssociation, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (0.5 years) |
License | GPL-2 |
Depends | R (>= 3.2), GSVA, changepoint, data.table, ggplot2, plyr |
Imports | |
LinkingTo | |
Suggests | knitr |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | SISPA_1.0.0.tar.gz |
Windows Binary | SISPA_1.0.0.zip |
Mac OS X 10.6 (Snow Leopard) | SISPA_1.0.0.tgz |
Mac OS X 10.9 (Mavericks) | SISPA_1.0.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/SISPA/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/SISPA/ |
Package Downloads Report | Download Stats |
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