Last data update: 2014.03.03
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attract
Package: attract
Type: Package
Title: Methods to Find the Gene Expression Modules that Represent the
Drivers of Kauffman's Attractor Landscape
Version: 1.24.0
Date: 2016-03-15
Author: Jessica Mar
Maintainer: Samuel Zimmerman <sezimmer@einstein.yu.edu>
Description: 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.
License: LGPL (>= 2.0)
Collate: classdef.R findAttractorsStep.R removeFlatGenesStep.R
findSynexprsStep.R findFuncEnrichAndCorr.R
Depends: R (>= 3.2.4), methods, AnnotationDbi
Imports: Biobase, limma, cluster, GOstats, graphics, stats,
reactome.db, KEGGREST, org.Hs.eg.db
Suggests: illuminaHumanv1.db
biocViews: KEGG, Reactome, GeneExpression, Pathways, GeneSetEnrichment,
Microarray, RNASeq
NeedsCompilation: no
Packaged: 2016-05-04 03:41:03 UTC; biocbuild
● BiocViews: GeneExpression, GeneSetEnrichment, KEGG, Microarray, Pathways, RNASeq, Reactome
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1 images,
20 functions,
4 datasets
●
Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'attract' ...
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'attract'
finding HTML links ... done
AttractorModuleSet-class html
SynExpressionSet-class html
attract-package html
buildCorMatrix html
buildCustomIncidenceMatrix html
buildKeggIncidenceMatrix html
calcFuncSynexprs html
calcInform html
calcModfstat html
calcRss html
exprs.dat html
filterDataSet html
findAttractors html
findCorrPartners html
findOnepwaySynexprs html
findSynexprs html
flagPwayExists html
getCustomGenes html
getPwayGenes html
loring.eset html
plotsynexprs html
removeFlatGenes html
samp.info html
subset.loring.eset html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (attract)
Making 'packages.html' ... done
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