Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE

被引：0
|
作者：
Satoshi Niijima
Satoru Kuhara
机构：
[1] Kyushu University,Department of Bioinformatics, Graduate School of Systems Life Sciences
[2] Kyushu University,Faculty of Agriculture
来源：
BMC Bioinformatics | / 7卷
关键词：
Acute Myeloid Leukemia; Medulloblastoma; Linear Discriminant Analysis; Gene Selection; Recursive Feature Elimination;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Development of two-stage SVM-RFE gene selection strategy for microarray expression data analysis
    Secure Computing Corporation, 4800 North Point Parkway, Alpharetta, GA 30022
    不详
    不详
    IEEE/ACM Trans. Comput. BioL. Bioinf., 2007, 3 (365-381):
  • [42] Absolute cosine-based SVM-RFE feature selection method for prostate histopathological grading
    Sahran, Shahnorbanun
    Albashish, Dheeb
    Abdullah, Azizi
    Abd Shukor, Nordashima
    Pauzi, Suria Hayati Md
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2018, 87 : 78 - 90
  • [43] On feature selection and blast furnace temperature tendency prediction in hot metal based on SVM-RFE
    Wang, Yi-Kang
    Liu, Xue-Yi
    Zhang, Bao-Lin
    2018 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE (ANZCC), 2018, : 371 - 376
  • [44] Margin-maximised redundancy-minimised SVM-RFE for diagnostic classification of mammograms
    Kim, Saejoon
    INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 2014, 10 (04) : 374 - 390
  • [45] ECoG classification based on band power normalization and SVM-RFE
    Liu, Chong
    Zhao, Haibin
    Li, Chunsheng
    Wang, Hong
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2011, 32 (03): : 534 - 539
  • [46] Multiple SVM-RFE for Feature Subset Selection in Partial Discharge Pattern Recognition
    Tang, Ju
    Tao, Jiagui
    Zhang, Xiaoxing
    Liu, Fan
    INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2012, 7 (04): : 5240 - 5246
  • [47] Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis
    Yangtao Xue
    Li Zhang
    Bangjun Wang
    Zhao Zhang
    Fanzhang Li
    Applied Intelligence, 2018, 48 : 3306 - 3331
  • [48] Improving enzyme regulatory protein classification by means of SVM-RFE feature selection
    Fernandez-Lozano, Carlos
    Fernandez-Blanco, Enrique
    Dave, Kirtan
    Pedreira, Nieves
    Gestal, Marcos
    Dorado, Julian
    Munteanu, Cristian R.
    MOLECULAR BIOSYSTEMS, 2014, 10 (05) : 1063 - 1071
  • [49] MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data (vol 23, pg 1106, 2007)
    Zhou, Xin
    Tuck, David P.
    BIOINFORMATICS, 2007, 23 (15) : 2029 - 2029
  • [50] Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis
    Xue, Yangtao
    Zhang, Li
    Wang, Bangjun
    Zhang, Zhao
    Li, Fanzhang
    APPLIED INTELLIGENCE, 2018, 48 (10) : 3306 - 3331
12345