A Comprehensive Survey of Recent Hybrid Feature Selection Methods in Cancer Microarray Gene Expression Data

被引：0
|
作者：
Almazrua, Halah [1 ]
Alshamlan, Hala [1 ]
机构：
[1] King Saud University, Department of Information Technology, Riyadh,11362, Saudi Arabia
来源：
IEEE Access | 2022年 / 10卷
关键词：
115;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：71427 / 71449
相关论文
共 50 条
  • [21] Minimum redundancy feature selection from microarray gene expression data
    Ding, C
    Peng, HC
    PROCEEDINGS OF THE 2003 IEEE BIOINFORMATICS CONFERENCE, 2003, : 523 - 528
  • [22] A hybrid feature selection algorithm for microarray data
    Zheng, Yuefeng
    Li, Ying
    Wang, Gang
    Chen, Yupeng
    Xu, Qian
    Fan, Jiahao
    Cui, Xueting
    JOURNAL OF SUPERCOMPUTING, 2020, 76 (05): : 3494 - 3526
  • [23] A comprehensive survey on recent metaheuristics for feature selection
    Dokeroglu, Tansel
    Deniz, Ayca
    Kiziloz, Hakan Ezgi
    NEUROCOMPUTING, 2022, 494 : 269 - 296
  • [24] Hybrid feature selection approach based on GRASP for cancer microarray data
    Nagpal A.
    Gaur D.
    Journal of Computing and Information Technology, 2017, 25 (02) : 133 - 148
  • [25] A comprehensive survey on recent metaheuristics for feature selection
    Dokeroglu, Tansel
    Deniz, Ayça
    Kiziloz, Hakan Ezgi
    Neurocomputing, 2022, 494 : 269 - 296
  • [26] A New hybrid Feature selection-Classification model to Improve Cancer Sample Classification Accuracy in Microarray Gene Expression Data
    Bandyopadhyay, Ritaban
    Sharma, Arijt Das
    Dasgupta, Bidya
    Ghosh, Ankita
    Das, Chandra
    Bose, Shilpi
    2023 INTERNATIONAL CONFERENCE ON COMPUTER, ELECTRICAL & COMMUNICATION ENGINEERING, ICCECE, 2023,
  • [27] A hybrid feature selection algorithm for gene expression data classification
    Lu, Huijuan
    Chen, Junying
    Yan, Ke
    Jin, Qun
    Xue, Yu
    Gao, Zhigang
    NEUROCOMPUTING, 2017, 256 : 56 - 62
  • [28] Hybrid Feature Selection Method using Gene Expression Data
    Chuang, Li-Yeh
    Wu, Kuo-Chuan
    Yang, Cheng-Hong
    2008 IEEE CONFERENCE ON SOFT COMPUTING IN INDUSTRIAL APPLICATIONS SMCIA/08, 2009, : 199 - +
  • [29] A Hybrid Feature Selection Method Using Gene Expression Data
    Chuang, Li-Yeh
    Wu, Kuo-Chuan
    Yang, Cheng-Hong
    2009 9TH IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING, 2009, : 100 - +
  • [30] Feature Selection and Classification in gene expression cancer data
    Pavithra, D.
    Lakshmanan, B.
    2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN DATA SCIENCE (ICCIDS), 2017,
12345