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The default network\nreconstruction method we use is based on Pearson correlation.\nHowever, lionessR can run on any network reconstruction\nalgorithms that returns a complete, weighted adjacency matrix.\nlionessR works for both unipartite and bipartite networks.", "Authors@R": "c(person(c(\"Marieke\", \"Lydia\"), \"Kuijjer\", \nrole = c(\"aut\"),\nemail = \"marieke.kuijjer@ncmm.uio.no\",\ncomment = c(ORCID = \"0000-0001-6280-3130\")),\nperson(\"Ping-Han\", \"Hsieh\",\nrole = c(\"cre\"),\nemail = \"dn070017@gmail.com\",\ncomment = c(ORCID = \"0000-0003-3054-1409\")))", "License": "MIT + file LICENSE", "LazyData": "TRUE", "biocViews": "Network, NetworkInference, GeneExpression", "BugReports": "https://github.com/mararie/lionessR/issues", "URL": "https://github.com/mararie/lionessR", "Encoding": "UTF-8", "RoxygenNote": "6.0.1", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "zlib1g-dev", "Repository": "https://bioc-release.r-universe.dev", "Date/Publication": "2026-04-28 12:50:59 UTC", "RemoteUrl": "https://github.com/bioc/lionessR", "RemoteRef": "RELEASE_3_23", "RemoteSha": "aa85c615e037f75141c10ad575dfbf3977a0a694", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-08 07:07:27 UTC", "User": "root" }, "Author": "Marieke Lydia Kuijjer [aut] (ORCID:\n),\nPing-Han Hsieh [cre] (ORCID: )", "Maintainer": "Ping-Han Hsieh ", "MD5sum": "4ce0448e458dc630bc7773b15b77cc79", "_user": "bioc-release", "_type": "src", "_file": "lionessR_1.26.0.tar.gz", "_fileid": "88a0dd60828e5457e796b3eac80b64fecc69346ec39058ebdf0b59827424dd85", "_filesize": 3200219, "_sha256": "88a0dd60828e5457e796b3eac80b64fecc69346ec39058ebdf0b59827424dd85", "_created": "2026-06-08T07:07:27.000Z", "_published": "2026-06-09T06:01:49.381Z", "_jobs": [ { "job": 80256650167, "time": 154, "config": "bioc-checks", "r": "4.6.0", "check": "NOTE", "artifact": "7473611518" }, { "job": 80256649973, "time": 335, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7473659579" }, { "job": 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