A hybrid GA/SVM approach for gene selection and classification of microarray data

被引：0
|
作者：
Huerta, Edmundo Bonilla [1 ]
Duval, Beatrice [1 ]
Hao, Jin-Kao [1 ]
机构：
[1] Univ Angers, LERIA, F-49045 Angers, France
来源：
APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS | 2006年 / 3907卷
关键词：
Genetic Algorithms; fuzzy logic; Support Vector Machines; feature selection; classification; microarray data;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We propose a Genetic Algorithm (CA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to a fuzzy logic based pre-filtering technique. The CA is used to evolve gene subsets whose fitness is evaluated by a SVM classifier. Using archive records of "good" gene subsets, a frequency based technique is introduced to identify the most informative genes. Our approach is assessed on two well-known cancer datasets and shows competitive results with six existing methods.
引用
收藏
页码：34 / 44
页数：11
相关论文
共 50 条
  • [1] A hybrid GA & Back Propagation Approach for gene selection and classification of microarray data
    Khayat, Omid
    Shahdoosti, Hamid Reza
    Motlagh, Ahmad Jaberi
    ADVANCES ON ARTIFICIAL INTELLIGENCE, KNOWLEDGE ENGINEERING AND DATA BASES, PROCEEDINGS, 2008, : 56 - +
  • [2] A Hybrid BPSO-CGA Approach for Gene Selection and Classification of Microarray Data
    Chuang, Li-Yeh
    Yang, Cheng-Huei
    Li, Jung-Chike
    Yang, Cheng-Hong
    JOURNAL OF COMPUTATIONAL BIOLOGY, 2012, 19 (01) : 68 - 82
  • [3] Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms
    Alba, Enrique
    Garcia-Nieto, Jose
    Jourdan, Laetitia
    Talbi, El-Ghazali
    2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, : 284 - +
  • [4] Selection and Classification of Gene Expression Data Using a MF-GA-TS-SVM Approach
    Alberto Luis, Hernandez-Montiel
    Edmundo, Bonilla-Huerta
    Roberto, Morales-Caporal
    Antonio Jose, Guevara-Garcia
    INTELLIGENT COMPUTING IN BIOINFORMATICS, 2014, 8590 : 300 - 308
  • [5] An evolutionary approach for gene selection and classification of microarray data based on SVM error-bound theories
    Debnath, Rameswar
    Kurita, Takio
    BIOSYSTEMS, 2010, 100 (01) : 39 - 46
  • [6] COMBAT GA-BASED GENE SELECTION FOR CLASSIFICATION OF MICROARRAY DATA
    Chuang, Li-Yeh
    Yang, Cheng-San
    Li, Jung-Chike
    Yang, Cheng-Hong
    BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 2008, 20 (06): : 345 - 352
  • [7] A Comparison of PSO and GA Approaches for Gene Selection and Classification of Microarray Data
    Garcia-Nieto, Jose
    Alba, Enrique
    Jourdan, Laetitia
    Talbi, El-Ghazali
    GECCO 2007: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2, 2007, : 427 - 427
  • [8] SVM-based local search for gene selection and classification of microarray data
    Hernandez, Jose Crispin Hernandez
    Duval, Beatrice
    Hao, Jin-Kao
    BIOINFORMATICS RESEARCH AND DEVELOPMENT, PROCEEDINGS, 2008, 13 : 499 - 508
  • [9] A Novel BPSO Approach for Gene Selection and Classification of Microarray Data
    Yang, Cheng-San
    Chuang, Li-Yeh
    li, Jung-Chike
    Yang, Cheng-Hong
    2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 2147 - +
  • [10] A genetic embedded approach for gene selection and classification of microarray data
    Hernandez, Jose Crispin Hernandez
    Duval, Atrice
    Hao, Jin-Kao
    EVOLUTIONARY COMPUTATION, MACHINE LEARNING AND DATA MINING IN BIOINFORMATICS, PROCEEDINGS, 2007, 4447 : 90 - +
12345