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
| Maintainer | Samuel Zimmerman <samuel.e.zimmerman@gmail.com> |
| Author | Jessica Mar |
| License | LGPL (>= 2.0) |
| Downloads rank | 734 |
| Source branch | RELEASE_3_23 |
| biocViews | GeneExpression, GeneSetEnrichment, ImmunoOncology, KEGG, Microarray, Pathways, RNASeq, Reactome, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | attract_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