attract

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

Bioconductor version: 2.7

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	Tutorial on How to Use the Functions in the \texttt{attract
PDF		Reference Manual

Details

biocViews	Statistics, GeneExpression
Depends	R (>= 2.10.0), AnnotationDbi, KEGG.db, GOstats
Imports	Biobase, AnnotationDbi, KEGG.db, GSEAlm, limma, cluster, GOstats, graphics, methods, stats
Suggests	illuminaHumanv1.db
System Requirements
License	LGPL (>= 2.0)
URL
Depends On Me
Imports Me
Suggests Me
Version	1.2.0
Since	Bioconductor 2.7 (R-2.12)

Package Downloads

Package Source	attract_1.2.0.tar.gz
Windows Binary	attract_1.2.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	attract_1.2.0.tgz
Package Downloads Report	Download Stats

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