Bioconductor version: Release (3.14)
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")
):
To install this package, start R (version "4.1") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("attract")
R Script | Tutorial on How to Use the Functions in the \texttt{attract} Package | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, GeneSetEnrichment, ImmunoOncology, KEGG, Microarray, Pathways, RNASeq, Reactome, Software |
Version | 1.46.0 |
In Bioconductor since | BioC 2.7 (R-2.12) (11.5 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 |
LinkingTo | |
Suggests | illuminaHumanv1.db |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | attract_1.46.0.tar.gz |
Windows Binary | attract_1.46.0.zip |
macOS 10.13 (High Sierra) | attract_1.46.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/attract |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/attract |
Package Short Url | https://bioconductor.org/packages/attract/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.14 | Source Archive |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: