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A disentangled generative model for improved drug response prediction in patients via sample synthesis

Kunshi Li Bihan Shen Fangyoumin Feng Xueliang Li Yue Wang Na Feng Zhixuan Tang Liangxiao Ma Hong Li

药物分析学报（英文）2025，Vol.15Issue(6)：1226-1237,12.

药物分析学报（英文）2025，Vol.15Issue(6)：1226-1237,12.DOI:10.1016/j.jpha.2024.101128

A disentangled generative model for improved drug response prediction in patients via sample synthesis

Kunshi Li ¹Bihan Shen ¹Fangyoumin Feng ¹Xueliang Li ¹Yue Wang ²Na Feng ²Zhixuan Tang ¹Liangxiao Ma ¹Hong Li¹

作者信息

1. CAS Key Laboratory of Computational Biology,Shanghai Institute of Nutrition and Health,University of Chinese Academy of Sciences,Chinese Academy of Sciences,Shanghai,200031,China
2. Molecular Pathology Laboratory,National Center for Liver Cancer,Eastern Hepatobiliary Surgery Hospital,Shanghai,201800,China
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摘要

关键词

Precision medicine/Transfer learning/Drug response prediction

Key words

Precision medicine/Transfer learning/Drug response prediction

引用本文复制引用

Kunshi Li,Bihan Shen,Fangyoumin Feng,Xueliang Li,Yue Wang,Na Feng,Zhixuan Tang,Liangxiao Ma,Hong Li..A disentangled generative model for improved drug response prediction in patients via sample synthesis[J].药物分析学报（英文）,2025,15(6):1226-1237,12.

基金项目

This work was supported by the National Natural Science Foun-dation of China(Grant Nos.:32170680 and T2122018),the Natural Science Foundation of Shanghai,China(Grant No.:21ZR1476000),and the CAS Youth Innovation Promotion Association,China(Grant No.:Y2022076). （Grant Nos.:32170680 and T2122018）

药物分析学报（英文）

ISSN：2095-1779

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