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 3.4 of Bioconductor; for the stable, up-to-date release version, see SISPA.
Bioconductor version: 3.4
Sample Integrated Set Profile Analysis (SISPA) is a method designed to define sample groups with similar gene set enrichment profiles.
Author: Bhakti Dwivedi and Jeanne Kowalski
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")
Reference Manual | ||
Text | NEWS |
biocViews | GeneSetEnrichment, GenomeWideAssociation, Software |
Version | 1.4.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (1.5 years) |
License | GPL-2 |
Depends | R (>= 3.2), genefilter, GSVA, changepoint |
Imports | data.table, plyr, ggplot2 |
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_1.4.0.tar.gz |
Windows Binary | SISPA_1.4.0.zip |
Mac OS X 10.9 (Mavericks) | SISPA_1.4.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/SISPA/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/SISPA/ |
Package Downloads Report | Download Stats |
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