---
id: 20261003-T0-10
title: "反向IRT：在稀疏癌症药敏矩阵中实现更稳健的药物排序"
title_en: "Reverse IRT Improves Drug Ranking in Sparse Cancer Response Matrices"
url: https://ai.daily.yangsir.net/daily/20261003-T0-10
issue_date: 2026-10-03
publish_date: 2026-10-02T04:00:00.000Z
category: research
source_name: "arXiv cs.LG (ML)"
source_url: https://arxiv.org/abs/2610.00002
---

# 反向IRT：在稀疏癌症药敏矩阵中实现更稳健的药物排序

研究提出反向项目反应理论（reverse IRT），用于药物基因组学中的药敏分析。该方法把癌症类型当作具有耐药能力的潜在“被试”，把药物当作具有规避难度的“项目”，在242,036条药物敏感性测量数据上应用。传统方法在数据碎片化、稀疏时排序不稳定，反向IRT 通过重新建模癌症与药物的交互关系，在稀疏矩阵中实现更稳健的排序。该成果可用于提升癌症药敏预测的可靠性，帮助筛选潜在有效药物。

## English Version

**Reverse IRT Improves Drug Ranking in Sparse Cancer Response Matrices**

Researchers introduce reverse Item Response Theory (IRT) for pharmacogenomic drug-response analysis. The method treats cancer types as latent 'subjects' with resistance ability and drugs as 'items' with evasion difficulty, applied to 242,036 drug sensitivity measurements. Where conventional methods become unstable under fragmented and sparse data, reverse IRT remodels cancer-drug interactions to achieve more robust ranking in sparse matrices. The work can improve the reliability of cancer drug sensitivity prediction and help prioritize potentially effective drugs.

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**来源**：[arXiv cs.LG (ML)](https://arxiv.org/abs/2610.00002)

**详情页**：https://ai.daily.yangsir.net/daily/20261003-T0-10

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