attract

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

Bioconductor version: Release (2.12)

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, Statistics
Version	1.12.0
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_1.12.0.tar.gz
Windows Binary	attract_1.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	attract_1.12.0.tgz
Package Downloads Report	Download Stats

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