{ "_id": "6a213f4ccd65a98ecbd29e5e", "Package": "mnda", "Type": "Package", "Title": "Multiplex Network Differential Analysis (MNDA)", "Version": "1.0.9", "Authors@R": "c(person(\"Behnam\", \"Yousefi\", role = c(\"aut\", \"cre\",\"cph\"),\nemail = \"yousefi.bme@gmail.com\"),\nperson(\"Farzaneh\", \"Firoozbakht\", role = \"aut\"))", "Description": "Interactions between different biological entities are\ncrucial for the function of biological systems. In such\nnetworks, nodes represent biological elements, such as genes,\nproteins and microbes, and their interactions can be defined by\nedges, which can be either binary or weighted. The\ndysregulation of these networks can be associated with\ndifferent clinical conditions such as diseases and response to\ntreatments. However, such variations often occur locally and do\nnot concern the whole network. To capture local variations of\nsuch networks, we propose multiplex network differential\nanalysis (MNDA). MNDA allows to quantify the variations in the\nlocal neighborhood of each node (e.g. gene) between the two\ngiven clinical states, and to test for statistical significance\nof such variation. Yousefi et al. (2023)\n.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-04 08:59:02 UTC", "User": "root" }, "Author": "Behnam Yousefi [aut, cre, cph], Farzaneh Firoozbakht [aut]", "Maintainer": "Behnam Yousefi ", "Config/pak/sysreqs": "cmake libfontconfig1-dev libfreetype6-dev git\nlibglpk-dev make libgit2-dev libicu-dev libpng-dev libuv1-dev\nlibxml2-dev libssl-dev python3 libx11-dev", "Repository": "https://behnam-yousefi.r-universe.dev", "Date/Publication": "2023-01-25 07:30:02 UTC", "RemoteUrl": "https://github.com/cran/mnda", "RemoteRef": "HEAD", "RemoteSha": "2212095fc82bc88fda18d1a42d7c1950fc05e9c2", "MD5sum": "492584b80bbb361206dbbec9bc81027f", "_user": "behnam-yousefi", "_type": "src", "_file": "mnda_1.0.9.tar.gz", "_fileid": "dbdf1e075c716a58c361dcdd00e7984f4c5d5e8a264371813d28984eccd16a9b", "_filesize": 134523, "_sha256": "dbdf1e075c716a58c361dcdd00e7984f4c5d5e8a264371813d28984eccd16a9b", "_created": 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