Bioconductor version: 2.10
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")
R Script | Package | |
Reference Manual |
biocViews | GeneExpression, Software, Statistics |
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 | |
License | LGPL (>= 2.0) |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Version | 1.8.0 |
Since | Bioconductor 2.7 (R-2.12) |
Package Source | attract_1.8.0.tar.gz |
Windows Binary | attract_1.8.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | attract_1.8.0.tgz |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
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