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attract

Methods to Find the Gene Expression Modules that Represent the Drivers of Kauffman's Attractor Landscape

Bioconductor version: 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")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("attract")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("attract")

 

PDF R Script Package
PDF   Reference Manual

Details

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  

Package Archives

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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