Feature selection of gene expression data for Cancer classification using double RBF-kernels

被引：0
|
作者：
Shenghui Liu
Chunrui Xu
Yusen Zhang
Jiaguo Liu
Bin Yu
Xiaoping Liu
Matthias Dehmer
机构：
[1] Shandong University at Weihai,School of Mathematics and Statistics
[2] Virginia Polytechnic Institute and State University,Genetics, Bioinformatics, and Computational Biology
[3] Qingdao University of Science and Technology,College of Mathematics and Physics
[4] University of Applied Sciences Upper Austria,Institute for Intelligent Production, Faculty for Management
[5] Steyr Campus,College of Computer and Control Engineering
[6] Nankai University,Department of Mechatronics and Biomedical Computer Science
[7] UMIT,undefined
来源：
BMC Bioinformatics | / 19卷
关键词：
Clustering; Gene expression; Cancer classification; Feature selection; Data mining;
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
  • [1] Feature selection of gene expression data for Cancer classification using double RBF-kernels
    Liu, Shenghui
    Xu, Chunrui
    Zhang, Yusen
    Liu, Jiaguo
    Yu, Bin
    Liu, Xiaoping
    Dehmer, Matthias
    [J]. BMC BIOINFORMATICS, 2018, 19
  • [2] Feature Selection and Classification in gene expression cancer data
    Pavithra, D.
    Lakshmanan, B.
    [J]. 2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN DATA SCIENCE (ICCIDS), 2017,
  • [3] An Integrated Feature Selection Algorithm for Cancer Classification using Gene Expression Data
    Ahmed, Saeed
    Kabir, Muhammad
    Ali, Zakir
    Arif, Muhammad
    Ali, Farman
    Yu, Dong-Jun
    [J]. COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2018, 21 (09) : 631 - 645
  • [4] Feature Selection of Gene Expression Data for Cancer Classification: A Review
    Singh, Rabindra Kumar
    Sivabalakrishnan, M.
    [J]. BIG DATA, CLOUD AND COMPUTING CHALLENGES, 2015, 50 : 52 - 57
  • [5] A combination of rough-based feature selection and RBF neural network for classification using gene expression data
    Chiang, Jung-Hsien
    Ho, Shing-Hua
    [J]. IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2008, 7 (01) : 91 - 99
  • [6] Feature Selection and Classification for Gene Expression Data using Evolutionary Computation
    Banka, Haider
    Dara, Suresh
    [J]. 2012 23RD INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS (DEXA), 2012, : 185 - 189
  • [7] Variance-based Feature Selection for Classification of Cancer Subtypes Using Gene Expression Data
    Roberts, Aedan G. K.
    Catchpoole, Daniel R.
    Kennedy, Paul J.
    [J]. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2018,
  • [8] Feature Selection for Cancer Classification on Microarray Expression Data
    Hsu, Hui-Huang
    Lu, Ming-Da
    [J]. ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 3, PROCEEDINGS, 2008, : 153 - 158
  • [9] A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification
    Almugren, Nada
    Alshamlan, Hala
    [J]. IEEE ACCESS, 2019, 7 : 78533 - 78548
  • [10] A hybrid feature selection algorithm for gene expression data classification
    Lu, Huijuan
    Chen, Junying
    Yan, Ke
    Jin, Qun
    Xue, Yu
    Gao, Zhigang
    [J]. NEUROCOMPUTING, 2017, 256 : 56 - 62
12345