首页> Scientific reports> Optimizing feature selection in cancer microarray data using a heap-driven evolutionary framework for high-dimensional spaces.

Optimizing feature selection in cancer microarray data using a heap-driven evolutionary framework for high-dimensional spaces.

导出 LinkOut

翻译打印收藏纠错

第一作者： Mohammed,Alweshah

第一单位： Prince Abdullah Bin Ghazi Faculty of Information and Communication Technology, Al-Balqa Applied University, Al-Salt, Jordan.;Artificial Intelligence Department, Faculty of Information Technology, Aqaba, Jordan.

作者： Mohammed,Alweshah ^[1] ; Hadeel,Jebril ^[2] ; Sofian,Kassaymeh ^[3] ; Muder,Almiani ^[4] ; Saleh,Alkhalaileh ^[5] ; Gaith,Rjoub ^[5]

作者单位： Prince Abdullah Bin Ghazi Faculty of Information and Communication Technology, Al-Balqa Applied University, Al-Salt, Jordan.;Artificial Intelligence Department, Faculty of Information Technology, Aqaba, Jordan. ^[1] Prince Abdullah Bin Ghazi Faculty of Information and Communication Technology, Al-Balqa Applied University, Al-Salt, Jordan. ^[2] Department of Robotics and Artificial Intelligence, Faculty of Information Technology, Jadara University, Irbid, Jordan. s.kassaymeh@jadara.edu.jo. ^[3] Department of Management Information System (MIS), Gulf University for Science and Technology, Kuwait City, Kuwait. ^[4] Artificial Intelligence Department, Faculty of Information Technology, Aqaba, Jordan. ^[5]

关键词 Feature selection Heap based optimizer High-dimensional data Medical diagnosis Metaheuristics

DOI 10.1038/s41598-026-37803-5

PMID 41617939

发布时间 2026-06-25

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交