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Improved intelligent water drop-based hybrid feature selection method for microarray data processing.

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第一作者： Esra'a,Alhenawi

第一单位： Software Engineering Department, Al-Ahliyya Amman University, Amman, Jordan; King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan. Electronic address: e.alhenawi@ammanu.edu.jo.

作者： Esra'a,Alhenawi ^[1] ; Rizik,Al-Sayyed ^[2] ; Amjad,Hudaib ^[3] ; Seyedali,Mirjalili ^[4]

作者单位： Software Engineering Department, Al-Ahliyya Amman University, Amman, Jordan; King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan. Electronic address: e.alhenawi@ammanu.edu.jo. ^[1] King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan. Electronic address: r.alsayyed@ju.edu.jo. ^[2] King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan. Electronic address: ahudaib@ju.edu.jo. ^[3] Center for Artificial Intelligence Research and Optimization, Torrens University Australia, Fortitude Valley, Brisbane, 4006 QLD, Australia; University Research and Innovation Center, Obuda University, Budapest, Hungary. Electronic address: ali.mirjalili@gmail.com. ^[4]

关键词 High dimensional datasets Hybrid feature selection Intelligent water drop algorithm Machine learning Medical applications

医学主题词人类(Humans);贝叶斯定理(Bayes Theorem);算法(Algorithms);微阵列分析(Microarray Analysis);肿瘤(Neoplasms)

DOI 10.1016/j.compbiolchem.2022.107809

PMID 36696844

发布时间 2023-03-08

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