Selecting Informative Genes from Microarray Data by Using a Cyclic GA-based Method

被引：0
|
作者：
Mohamad, Mohd Saberi [1 ,2 ]
Omatu, Sigeru [1 ]
Deris, Safaai [2 ]
Yoshioka, Michifumi [1 ]
机构：
[1] Osaka Prefecture Univ, Dept Comp Sci & Intelligent Syst, Osaka 5998531, Japan
[2] Univ Teknol Malaysia, Dept Software Engn, Skudai 81310, Johore, Malaysia
来源：
UKSIM-AMSS FIRST INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION | 2010年
关键词：
component; Cyclic approach; Genetic algorithms; Gene selection; hybrid method; microarray data; SUPPORT VECTOR MACHINE; CLASSIFICATION; ALGORITHM; HYBRID;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Microarray data are expected to be of significant help in the development of efficient cancer diagnoses and classification platforms. The main problem that needs to be addressed is the selection of a small subset of genes from the thousands of genes in the data that contributes to a cancer disease. This selection process is difficult due to the availability of a small number of samples compared to the huge number of genes, many irrelevant genes, and noisy genes. Therefore, this paper proposes a cyclic method based on genetic algorithms (GA) to select a near-optimal (small) subset of informative genes that is relevant for cancer classification. The performance of the proposed method was evaluated by three benchmark microarray data sets and obtained encouraging results as compared with other experimented methods and previous related works.
引用
收藏
页码：15 / +
页数：2
相关论文
共 50 条
  • [1] Selecting informative genes from microarray data by using hybrid methods for cancer classification
    Mohamad M.S.
    Omatu S.
    Deris S.
    Misman M.F.
    Yoshioka M.
    [J]. Artificial Life and Robotics, 2009, 13 (2) : 414 - 417
  • [2] CLASSIFYING TEMPORAL MICROARRAY DATA BY SELECTING INFORMATIVE GENES
    Lou, Qiang
    Obradovic, Zoran
    [J]. JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 2013, 11 (03)
  • [3] Selecting Informative Genes from Microarray Dataset Using Fuzzy Relational Clustering
    Kasiri-Bidhendi, Soudeh
    Ghidary, Saeed Shiry
    [J]. ADVANCES IN COMPUTER SCIENCE AND ENGINEERING, 2008, 6 : 782 - 785
  • [4] Extraction of informative genes from microarray data
    Paul, Topon Kumar
    Iba, Hitoshi
    [J]. GECCO 2005: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOLS 1 AND 2, 2005, : 453 - 460
  • [5] Selecting informative genes from microarray dataset by incorporating Gene Ontology
    Xu, M
    Zhang, AD
    [J]. BIBE 2005: 5TH IEEE SYMPOSIUM ON BIOINFORMATICS AND BIOENGINEERING, 2005, : 241 - 245
  • [6] COMBAT GA-BASED GENE SELECTION FOR CLASSIFICATION OF MICROARRAY DATA
    Chuang, Li-Yeh
    Yang, Cheng-San
    Li, Jung-Chike
    Yang, Cheng-Hong
    [J]. BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 2008, 20 (06): : 345 - 352
  • [7] Statistical Voice Conversion using GA-based Informative Feature
    Sawada, Kohei
    Tagami, Yoji
    Tamura, Satoshi
    Takehara, Masanori
    Hayamizu, Satoru
    [J]. 2012 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2012,
  • [8] Extraction of informative genes from integrated microarray data
    Hong, Dongwan
    Lee, Jongkeun
    Hong, Sangkyoon
    Yoon, Jeehee
    Park, Sanghyun
    [J]. FOUNDATIONS OF INTELLIGENT SYSTEMS, PROCEEDINGS, 2008, 4994 : 618 - +
  • [9] A Regularized Method for Selecting Nested Groups of Relevant Genes from Microarray Data
    De Mol, Christine
    Mosci, Sofia
    Traskine, Magali
    Verri, Alessandro
    [J]. JOURNAL OF COMPUTATIONAL BIOLOGY, 2009, 16 (05) : 677 - 690
  • [10] Application of relief-F feature filtering algorithm to selecting informative genes for cancer classification using microarray data
    Wang, YH
    Makedon, F
    [J]. 2004 IEEE COMPUTATIONAL SYSTEMS BIOINFORMATICS CONFERENCE, PROCEEDINGS, 2004, : 497 - 498
12345