Last data update: 2014.03.03
|
clipper
Package: clipper
Version: 1.12.0
Date: 2015-08-31
Title: Gene Set Analysis Exploiting Pathway Topology
Author: Paolo Martini <paolo.cavei@gmail.com>, Gabriele Sales <gabriele.sales@unipd.it>, Chiara Romualdi <chiara.romualdi@unipd.it>
Maintainer: Paolo Martini <paolo.cavei@gmail.com>
Description: Implements topological gene set analysis using a two-step empirical approach. It exploits graph decomposition theory to create a junction tree and reconstruct the most relevant signal path. In the first step clipper selects significant pathways according to statistical tests on the means and the concentration matrices of the graphs derived from pathway topologies. Then, it "clips" the whole pathway identifying the signal paths having the greatest association with a specific phenotype.
Depends: R (>= 2.15.0), Matrix, graph
Imports: methods, Biobase, Rcpp, igraph, gRbase (>= 1.6.6), qpgraph,
KEGGgraph, corpcor, RBGL
Suggests: RUnit, BiocGenerics, RCytoscape (>= 1.6.3), graphite, ALL,
hgu95av2.db, MASS, BiocStyle
License: AGPL-3
NeedsCompilation: no
Packaged: 2016-05-04 04:50:32 UTC; biocbuild
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'clipper' ...
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'clipper'
finding HTML links ... done
clipper html
clipperAllRoots html
cliqueMeanTest html
cliqueMixedTest html
cliquePairedTest html
cliqueVarianceTest html
deleteEdge html
easyClip html
easyLook html
getGraphEntryGenes html
getJunctionTreePaths html
nameCliques html
pathwayTest html
plotInCytoscape html
prunePaths html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (clipper)
Making 'packages.html' ... done
|