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Reverse IRT用于癌症药物反应矩阵的稀疏鲁棒排序
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2026-10-02,arXiv·Machine Learning Theory发表研究,提出逆向项目反应理论(Reverse IRT),将癌症类型视为具有耐药能力的潜在“受试者”,药物视为具有逃逸难度的“项目”,在GDSC2数据库的242,036个药物敏感性测量上估计癌症型别体外耐药与药物广谱活性,实现碎片化矩阵的稀疏鲁棒排序。
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Oct 2, 2026
- arXiv · Machine Learning Theory逆向项目反应理论(Reverse IRT)在碎片化癌症药物反应矩阵中的稀疏鲁棒排序
summary_zh: 研究提出逆向项目反应理论(Reverse IRT),将癌症类型视为具有耐药能力的潜在"受试者",药物视为具有逃逸难度的"项目",在 GDSC2 数据库的 242,036 个药物敏感性测量上估计癌症型别体外耐药与药物广谱活性。
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