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  "Package": "PANACEA",
  "Title": "Personalized Network-Based Anti-Cancer Therapy Evaluation",
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  "Authors@R": "person(given = \"Ege\",\nfamily = \"Ulgen\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"egeulgen@gmail.com\",\ncomment = c(ORCID = \"0000-0003-2090-3621\"))",
  "Maintainer": "Ege Ulgen <egeulgen@gmail.com>",
  "Description": "Identification of the most appropriate pharmacotherapy for\neach patient based on genomic alterations is a major challenge\nin personalized oncology. 'PANACEA' is a collection of\npersonalized anti-cancer drug prioritization approaches\nutilizing network methods. The methods utilize personalized\n\"driverness\" scores from 'driveR' to rank drugs, mapping these\nonto a protein-protein interaction network. The\n\"distance-based\" method scores each drug based on these scores\nand distances between drugs and genes to rank given drugs. The\n\"RWR\" method propagates these scores via a random-walk with\nrestart framework to rank the drugs. The methods are described\nin detail in Ulgen E, Ozisik O, Sezerman OU. 2023. PANACEA:\nnetwork-based methods for pharmacotherapy prioritization in\npersonalized oncology. Bioinformatics\n<doi:10.1093/bioinformatics/btad022>.",
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  "Repository": "https://egeulgen.r-universe.dev",
  "Date/Publication": "2025-12-22 10:02:04 UTC",
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        "LHCGR",
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      "title": "PANACEA: Personalized Network-based Anti-Cancer Therapy Evaluation",
      "topics": [
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        "PANACEA"
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