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  "Package": "rhcoclust",
  "Title": "Robust Hierarchical Co-Clustering to Identify Significant\nCo-Cluster",
  "Version": "2.0.0",
  "Authors@R": "c(person(\"Md. Bahadur\",\n\"Badsha\",\nrole = c(\"aut\", \"cre\"),\nemail = \"mbbadshar@gmail.com\"),\nperson(\"Mohammad Nazmol\",\n\"Hasan\",\nrole = \"aut\"),\nperson(\"Md. Nurul Haque\",\n\"Mollah\",\nrole = \"aut\"))",
  "Description": "Here we performs robust hierarchical co-clustering between\nrow and column entities of a data matrix in absence and\npresence of outlying observations. It can be used to explore\nimportant co-clusters consisting of important samples and their\nregulatory significant features. Please see Hasan, Badsha and\nMollah (2020) <doi:10.1101/2020.05.13.094946>.",
  "License": "GPL (>=2)",
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  "Repository": "https://mdbahadur.r-universe.dev",
  "Date/Publication": "2023-01-28 03:41:03 UTC",
  "RemoteUrl": "https://github.com/mdbahadur/rhcoclust",
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  "Maintainer": "Md. Bahadur Badsha <mbbadshar@gmail.com>",
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  "_published": "2026-05-28T10:15:47.614Z",
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    "author": "MD BAHADUR BADSHA <badshabio15@gmail.com>",
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