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clipper

Gene Set Analysis Exploiting Pathway Topology

Bioconductor version: 3.24 · Package version: 1.53.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("clipper")

Details

MaintainerPaolo Martini <paolo.cavei@gmail.com>
AuthorPaolo Martini <paolo.cavei@gmail.com>, Gabriele Sales <gabriele.sales@unipd.it>, Chiara Romualdi <chiara.romualdi@unipd.it>
LicenseAGPL-3
Downloads rank739
Source branchdevel
biocViewsSoftware

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageclipper_1.53.0.tar.gz
Windows binary (x86_64)clipper_1.53.0.zip
macOS binary (arm64)clipper_1.53.0.tgz
macOS binary (x86_64)clipper_1.53.0.tgz
Dependencies

Depends: R (>= 2.15.0), Matrix, graph

Imports: methods, Biobase, Rcpp, igraph, gRbase (>= 1.6.6), qpgraph, KEGGgraph, corpcor

Suggests: RUnit, BiocGenerics, graphite, ALL, hgu95av2.db, MASS, BiocStyle

Enhances: RCy3

Reverse dependencies

Suggests Me (1): graphite