attract

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

Bioconductor version: Development (3.0)

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>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("attract")

To cite this package in a publication, start R and enter:

    citation("attract")

Documentation

PDF R Script Package
PDF   Reference Manual

Details

biocViews GeneExpression, Software, StatisticalMethod
Version 1.17.0
In Bioconductor since BioC 2.7 (R-2.12)
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
Suggests illuminaHumanv1.db
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source attract_1.17.0.tar.gz
Windows Binary attract_1.17.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) attract_1.17.0.tgz
Mac OS X 10.9 (Mavericks)
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