attract

This is the released version of attract; for the devel version, see attract.

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


Bioconductor version: Release (3.20)

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: Samuel Zimmerman <samuel.e.zimmerman at gmail.com>

Citation (from within R, enter citation("attract")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("attract")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("attract")
Tutorial on How to Use the Functions in the \texttt{attract} Package PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews GeneExpression, GeneSetEnrichment, ImmunoOncology, KEGG, Microarray, Pathways, RNASeq, Reactome, Software
Version 1.58.0
In Bioconductor since BioC 2.7 (R-2.12) (14 years)
License LGPL (>= 2.0)
Depends R (>= 3.4.0), AnnotationDbi
Imports Biobase, limma, cluster, GOstats, graphics, stats, reactome.db, KEGGREST, org.Hs.eg.db, utils, methods
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package attract_1.58.0.tar.gz
Windows Binary (x86_64) attract_1.58.0.zip
macOS Binary (x86_64) attract_1.58.0.tgz
macOS Binary (arm64) attract_1.58.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/attract
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/attract
Bioc Package Browser https://code.bioconductor.org/browse/attract/
Package Short Url https://bioconductor.org/packages/attract/
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