{ "_id": "6a1fd94fb401979e73437059", "Package": "clipper", "Version": "1.52.0", "Date": "2019-04-09", "Title": "Gene Set Analysis Exploiting Pathway Topology", "Author": "Paolo Martini , Gabriele Sales\n, Chiara Romualdi\n", "Maintainer": "Paolo Martini ", "Description": "Implements topological gene set analysis using a two-step\nempirical approach. It exploits graph decomposition theory to\ncreate a junction tree and reconstruct the most relevant signal\npath. In the first step clipper selects significant pathways\naccording to statistical tests on the means and the\nconcentration matrices of the graphs derived from pathway\ntopologies. Then, it \"clips\" the whole pathway identifying the\nsignal paths having the greatest association with a specific\nphenotype.", "License": "AGPL-3", "Config/pak/sysreqs": "libglpk-dev make libbz2-dev liblzma-dev libpng-dev\nlibxml2-dev libssl-dev xz-utils zlib1g-dev", "Repository": "https://bioc-release.r-universe.dev", "Date/Publication": "2026-04-28 12:37:15 UTC", "RemoteUrl": "https://github.com/bioc/clipper", "RemoteRef": "RELEASE_3_23", "RemoteSha": "66092aa02768a565ca94848f484e2299d2edb9ed", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-03 07:27:03 UTC", "User": "root" }, "MD5sum": "b7677741e6aa144157a5ea7e7435fc50", "_user": "bioc-release", "_type": "src", "_file": "clipper_1.52.0.tar.gz", "_fileid": "c5d7b61484587ddc31d5268adb4779585ceb4490c74e647abf5d3ca9ef5ee9f0", "_filesize": 1157786, "_sha256": "c5d7b61484587ddc31d5268adb4779585ceb4490c74e647abf5d3ca9ef5ee9f0", "_created": "2026-06-03T07:27:03.000Z", "_published": "2026-06-03T07:35:43.929Z", "_jobs": [ { "job": 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