Predicting anti-cancer drug sensitivity through WRE-XGBoost algorithm with weighted feature selection  

作　　者：Yiyao Jiang Ming Chen Zhongmin Xiong Yufang Qin 

机构地区：[1]College of Information Technology,Shanghai Ocean University,Shanghai,201306,China [2]Key Laboratory of Fisheries Information Ministry of Agriculture,Shanghai,201306,China

出　　处：《Genes & Diseases》2025年第2期15-17,共3页基因与疾病(英文)

基　　金：supported in part by the Shanghai Science and Technology Innovation Action Planning (No.20dz1203800 to M.C.);the Research and Development Planning in Key Areas of Guangdong Province,China (No.2021 B0202070001 to M.C.);the National Natural Sci-ence Foundation of China (No.61702325 to Y.Q.).

摘　　要：Accurate prediction of drug susceptibility is one of themost important steps in personalized medicine.Applications of machine learning to pharmacogenomic data for sensitivity prediction can help study the mechanism of drug response and find more effective anti-tumor drugs.

关 键 词：STEPS SUSCEPTIBILITY ALGORITHM 

分 类 号：O17[理学—数学]