A multi-objective strategy in genetic algorithms for gene selection of gene expression data

Artificial Life and Robotics

Volumn 13, Issue 2, 2009, Pages 410-413

  Mohamad, Mohd Saberi ^a   Omatu, Sigeru ^a   Deris, Safaai ^b   Misman, Muhammad Faiz ^b   Yoshioka, Michifumi ^a  

^a Osaka Prefecture University   (Japan)

^b UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Cancer classification; Gene expression data; Gene selection; Genetic algorithm; Multi objective

Indexed keywords

GENE EXPRESSION; GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION;

CANCER CLASSIFICATION; DATA SETS; EXPRESSION LEVELS; GENE EXPRESSION DATA; GENE SELECTION; MICRO ARRAYS; MULTI-OBJECTIVE; MULTI-OBJECTIVE STRATEGIES; URGENT PROBLEMS;

BIOACTIVITY;

EID: 62549089323     PISSN: 14335298     EISSN: 16147456     Source Type: Journal    
DOI: 10.1007/s10015-008-0533-5     Document Type: Article

References (4)

1. Mohamad MS, Deris S, Illias RM (2005) A hybrid of genetic algorithm and support vector machine for features selection and classification of gene expression microarray. J Comput Intel Appl 5:91-107
2. Mohamad MS, Omatu S, Deris S, Hashim SZM (2007) A model for gene selection and classification of gene expression data. Artif Life Robotics 11:219-222
3. Handl J, Kell DB, Knowles J (2007) Multi-objective optimisation in bioinformatics and computational biology. IEEE/ACM Trans Comput Biol Bioinf 4:279-292
4. Ambroise C, McLachlan GJ (2002) Selection bias in gene extraction on the basis of microarray gene-expression data. Proc Natl Acad Sci USA 99(10):6562-6566