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attract

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

Bioconductor version: 3.23 · Package version: 1.64.0

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.

Installation

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

BiocManager::install("attract")

Details

MaintainerSamuel Zimmerman <samuel.e.zimmerman@gmail.com>
AuthorJessica Mar
LicenseLGPL (>= 2.0)
Downloads rank734
Source branchRELEASE_3_23
biocViewsGeneExpression, GeneSetEnrichment, ImmunoOncology, KEGG, Microarray, Pathways, RNASeq, Reactome, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageattract_1.64.0.tar.gz
Windows binary (x86_64)attract_1.64.0.zip
macOS binary (arm64)attract_1.64.0.tgz
macOS binary (x86_64)attract_1.64.0.tgz
Dependencies

Depends: R (>= 3.4.0), AnnotationDbi

Imports: Biobase, limma, cluster, GOstats, graphics, stats, reactome.db, KEGGREST, org.Hs.eg.db, utils, methods

Suggests: illuminaHumanv1.db