To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("attract")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.1)
This package contains the functions to find the gene expression modules that represent the drivers of Kauffman's attractor landscape. The modules are the core attractor pathways that discriminate between different cell types of groups of interest. Each pathway has a set of synexpression groups, which show transcriptionally-coordinated changes in gene expression.
Author: Jessica Mar
Maintainer: Jessica Mar <jess at jimmy.harvard.edu>
Citation (from within R,
enter citation("attract")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("attract")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("attract")
R Script | Package | |
Reference Manual |
biocViews | GeneExpression, KEGG, Software, StatisticalMethod |
Version | 1.20.0 |
In Bioconductor since | BioC 2.7 (R-2.12) (5 years) |
License | LGPL (>= 2.0) |
Depends | R (>= 2.10.0), AnnotationDbi, KEGG.db, limma, cluster, GOstats, graphics, methods, stats |
Imports | Biobase, AnnotationDbi, KEGG.db, limma, cluster, GOstats, graphics, methods, stats |
LinkingTo | |
Suggests | illuminaHumanv1.db |
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 | attract_1.20.0.tar.gz |
Windows Binary | attract_1.20.0.zip |
Mac OS X 10.6 (Snow Leopard) | attract_1.20.0.tgz |
Mac OS X 10.9 (Mavericks) | attract_1.20.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/attract/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/attract/ |
Package Downloads Report | Download Stats |
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