To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("clipper")

In most cases, you don't need to download the package archive at all.

clipper

   

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see clipper.

Gene Set Analysis Exploiting Pathway Topology

Bioconductor version: 3.2

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.

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>

Citation (from within R, enter citation("clipper")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("clipper")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("clipper")

 

PDF clipper
PDF   Reference Manual

Details

biocViews Software
Version 1.10.0
In Bioconductor since BioC 2.12 (R-3.0) (3 years)
License AGPL-3
Depends R (>= 2.15.0), Matrix, graph
Imports methods, Biobase, Rcpp, igraph, gRbase (>= 1.6.6), qpgraph, KEGGgraph, corpcor, RBGL
LinkingTo
Suggests RUnit, BiocGenerics, RCytoscape(>= 1.6.3), graphite, ALL, hgu95av2.db, MASS, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me ToPASeq
Suggests Me graphite
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source clipper_1.10.0.tar.gz
Windows Binary clipper_1.10.0.zip
Mac OS X 10.6 (Snow Leopard) clipper_1.10.0.tgz
Mac OS X 10.9 (Mavericks) clipper_1.10.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/clipper/tree/release-3.2
Package Short Url http://bioconductor.org/packages/clipper/
Package Downloads Report Download Stats

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