Bioconductor version: Release (2.12)
clipper is a package for topological gene set analysis. It implements a two-step empirical approach based on the exploitation of graph decomposition into a junction tree to 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.
Author: Paolo Martini <paolo.cavei at gmail.com>, Gabriele Sales <gabriele.sales at unipd.it>, Chiara Romualdi <chiara.romualdi at unipd.it>
Maintainer: Paolo Martini <paolo.cavei at gmail.com>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("clipper")
To cite this package in a publication, start R and enter:
citation("clipper")
R Script | clipper | |
Reference Manual |
biocViews | Software |
Version | 1.0.0 |
In Bioconductor since | BioC 2.13 (R-2.18) |
License | AGPL-3 |
Depends | R (>= 2.15.0), Matrix, graph |
Imports | methods, Biobase, igraph, gRbase (>= 1.6.6), qpgraph, KEGGgraph, corpcor, RBGL |
Suggests | RUnit, BiocGenerics, RCytoscape(>= 1.6.3), graphite, ALL, hgu95av2.db |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | graphite |
Package Source | clipper_1.0.0.tar.gz |
Windows Binary | clipper_1.0.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | clipper_1.0.0.tgz |
Package Downloads Report | Download Stats |
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