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  "Title": "Open Cancer TherApeutic Discovery (OCTAD)",
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  "Description": "OCTAD provides a platform for virtually screening\ncompounds targeting precise cancer patient groups. The\nessential idea is to identify drugs that reverse the gene\nexpression signature of disease by tamping down over-expressed\ngenes and stimulating weakly expressed ones. The package offers\ndeep-learning based reference tissue selection, disease gene\nexpression signature creation, pathway enrichment analysis,\ndrug reversal potency scoring, cancer cell line selection, drug\nenrichment analysis and in silico hit validation. It currently\ncovers ~20,000 patient tissue samples covering 50 cancer types,\nand expression profiles for ~12,000 distinct compounds.",
  "License": "Artistic-2.0",
  "Encoding": "UTF-8",
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  "Date/Publication": "2026-05-29 18:37:21 UTC",
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  "Author": "E. Chekalin [aut, cre],\nS. Paithankar [aut],\nB. Zeng [aut],\nB. Glicksberg [ctb],\nP. Newbury [ctb],\nJ. Xing [ctb],\nK. Liu [ctb],\nA. Wen [ctb],\nD. Joseph [ctb],\nB. Chen [aut]",
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      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26664172156"
    }
  ]
}