Package: clipper
Version: 1.52.0
Date: 2019-04-09
Title: Gene Set Analysis Exploiting Pathway Topology
Author: Paolo Martini <paolo.cavei@gmail.com>, Gabriele Sales
        <gabriele.sales@unipd.it>, Chiara Romualdi
        <chiara.romualdi@unipd.it>
Maintainer: Paolo Martini <paolo.cavei@gmail.com>
Description: 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.
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
License: AGPL-3
Config/pak/sysreqs: libglpk-dev make libbz2-dev liblzma-dev libpng-dev
        libxml2-dev libssl-dev xz-utils zlib1g-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:37:15 UTC
RemoteUrl: https://github.com/bioc/clipper
RemoteRef: RELEASE_3_23
RemoteSha: 66092aa02768a565ca94848f484e2299d2edb9ed
NeedsCompilation: no
Packaged: 2026-10-01 11:03:39 UTC; root