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Updated: Jan 25, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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通过转移学习改善代表性不足群体的多基因分数预测

Hao Wu1,2, Paulino Pérez-Rodríguez3, Michael Boehnke4

  • 1Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA.

Nature communications
|January 23, 2026
PubMed
概括

本研究介绍了GPTL,这是一个R包,使用转移学习来改善多基因分数 (PGS) 的多元祖先. GPTL算法提高了预测准确性,超过单个祖先的PGS和匹配多个祖先的方法.

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