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.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see clipper.
Bioconductor version: 3.4
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")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("clipper")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("clipper")
Follow Installation instructions to use this package in your R session.
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