Selecting informative genes from microarray data by using hybrid methods for cancer classification

Artificial Life and Robotics

Volumn 13, Issue 2, 2009, Pages 414-417

  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 selection; Geneti calgorithm; Hybrid method; Microarray data

Indexed keywords

GENE EXPRESSION; HYBRID SENSORS;

CANCER CLASSIFICATION; GENE SELECTION; GENETI CALGORITHM; HYBRID METHOD; MICROARRAY DATA;

MICROARRAYS;

EID: 62549120809     PISSN: 14335298     EISSN: 16147456     Source Type: Journal    
DOI: 10.1007/s10015-008-0534-4     Document Type: Article

References (5)

1. Wang L, Chu F, Xie W (2007) Accurate cancer classification using expressions of very few genes. IEEE/ACM Trans Comput Bio Bioinf 4:40-53
2. Mohamad MS, Omatu S, Deris S, et al (2007) A model for gene selection and classification of gene expression data. Artif Life Robotics 11:219-222
3. 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
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
5. Mohamad MS, Omatu S, Deris S, et al (2009) A multi-objective strategy in genetic algorithm for gene selection of gene expression data. Artif Life Robotics. doi 10.1007/s10015-008-0533-5