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
| Maintainer | Paolo Martini <paolo.cavei@gmail.com> |
| Author | Paolo Martini <paolo.cavei@gmail.com>, Gabriele Sales <gabriele.sales@unipd.it>, Chiara Romualdi <chiara.romualdi@unipd.it> |
| License | AGPL-3 |
| Downloads rank | 739 |
| Source branch | devel |
| biocViews | Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | clipper_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