An Agent-Based Hybrid System for Microarray Data Analysis

被引：9

作者：

Zhang, Zili ^{[1
]}

Yang, Pengyi ^{[2
]}

Wu, Xindong ^{[3
]}

Zhang, Chengqi ^{[4
]}

机构：

[1] Southwest Univ, Chongqing, Peoples R China

[2] Univ Sydney, Sch Informat Technol, Sydney, NSW 2006, Australia

[3] Hefei Univ Technol, Hefei, Peoples R China

[4] Univ Technol Sydney, Dept Informat Technol, Sydney, NSW 2007, Australia

来源：

IEEE INTELLIGENT SYSTEMS | 2009年 / 24卷 / 05期

基金：

中国国家自然科学基金;

关键词：

GENE-EXPRESSION DATA; FEATURE-SELECTION; CLASSIFICATION;

D O I：

10.1109/MIS.2009.92

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

[No abstract available]

引用

页码：53 / 63

页数：11

共 15 条

[1] [Anonymous], Data Mining: practical machine learning tools and techniques. s.l
[2] MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia
Armstrong, SA
Staunton, JE
Silverman, LB
Pieters, R
de Boer, ML
Minden, MD
Sallan, SE
Lander, ES
Golub, TR
Korsmeyer, SJ
[J]. NATURE GENETICS, 2002, 30 (01) : 41 - 47
[3] A blocking strategy to improve gene selection for classification of gene expression data
Bontempi, Gianluca
[J]. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2007, 4 (02) : 293 - 300
[4] Cao LB, 2007, LECT NOTES COMPUT SC, V4476, P60
[5] Optimal number of features as a function of sample size for various classification rules
Hua, JP
Xiong, ZX
Lowey, J
Suh, E
Dougherty, ER
[J]. BIOINFORMATICS, 2005, 21 (08) : 1509 - 1515
[6] Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Jirapech-Umpai, T
Aitken, S
[J]. BMC BIOINFORMATICS, 2005, 6 (1)
[7] Keedwell E, 2005, INTELLIGENT BIOINFORMATICS: THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES TO BIOINFORMATICS PROBLEMS, P1, DOI 10.1002/0470015721
[8] Agent communication languages: The current landscape
Labrou, Y
Finin, T
Peng, Y
[J]. IEEE INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1999, 14 (02): : 45 - 52
[9] An extensive comparison of recent classification tools applied to microarray data
Lee, JW
Lee, JB
Park, M
Song, SH
[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2005, 48 (04) : 869 - 885
[10] Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method
Li, LP
Weinberg, CR
Darden, TA
Pedersen, LG
[J]. BIOINFORMATICS, 2001, 17 (12) : 1131 - 1142

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