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

Bioconductor version: Release (2.11)

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>

To install this package, start R and enter:


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



PDF R Script Package
PDF   Reference Manual


biocViews GeneExpression, Software, Statistics
Version 1.10.0
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
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source attract_1.10.0.tar.gz
Windows Binary (32- & 64-bit)
MacOS 10.5 (Leopard) attract_1.10.0.tgz
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center