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 [J].

Armstrong, SA ;

Staunton, JE ;

Silverman, LB ;

Pieters, R ;

de Boer, ML ;

Minden, MD ;

Sallan, SE ;

Lander, ES ;

Golub, TR ;

Korsmeyer, SJ .

NATURE GENETICS, 2002, 30 (01) :41-47

[3] A blocking strategy to improve gene selection for classification of gene expression data [J].

Bontempi, Gianluca .

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 [J].

Hua, JP ;

Xiong, ZX ;

Lowey, J ;

Suh, E ;

Dougherty, ER .

BIOINFORMATICS, 2005, 21 (08) :1509-1515

[6] Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes [J].

Jirapech-Umpai, T ;

Aitken, S .

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 [J].

Labrou, Y ;

Finin, T ;

Peng, Y .

IEEE INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1999, 14 (02) :45-52

[9] An extensive comparison of recent classification tools applied to microarray data [J].

Lee, JW ;

Lee, JB ;

Park, M ;

Song, SH .

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 [J].

Li, LP ;

Weinberg, CR ;

Darden, TA ;

Pedersen, LG .

BIOINFORMATICS, 2001, 17 (12) :1131-1142

← 1 2 →