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A Multi-Modal Feature Fusion Method Enhanced by Dynamic Sample Graphs for Predicting Drug Responses

Haochen Zhao Bowei Li Chenliang Xie Guihua Duan

大数据挖掘与分析(英文版)2026,Vol.9Issue(2):580-595,16.
大数据挖掘与分析(英文版)2026,Vol.9Issue(2):580-595,16.DOI:10.26599/BDMA.2025.9020041

A Multi-Modal Feature Fusion Method Enhanced by Dynamic Sample Graphs for Predicting Drug Responses

A Multi-Modal Feature Fusion Method Enhanced by Dynamic Sample Graphs for Predicting Drug Responses

Haochen Zhao 1Bowei Li 1Chenliang Xie 1Guihua Duan1

作者信息

  • 1. School of Computer Science and Engineering,Central South University,Changsha 410083,China
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摘要

关键词

drug response prediction/multi-modal fusion/deep learning

Key words

drug response prediction/multi-modal fusion/deep learning

引用本文复制引用

Haochen Zhao,Bowei Li,Chenliang Xie,Guihua Duan..A Multi-Modal Feature Fusion Method Enhanced by Dynamic Sample Graphs for Predicting Drug Responses[J].大数据挖掘与分析(英文版),2026,9(2):580-595,16.

基金项目

This work was supported by the National Natural Science Foundation of China(Nos.62472202,U22A2041,and 62272309),the National Funded Postdoctoral Program of China(No.G2C20233162),and the Science and Technology Major Project of Changsha(No.kh2402004).This work was also carried out in part using computing resources at the High Performance Computing Center of Central South University,China. (Nos.62472202,U22A2041,and 62272309)

大数据挖掘与分析(英文版)

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