Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Gene selection method using neural networks and genetic algorithm and its applications to classification of cancers

신경회로망과 유전 알고리즘을 이용한 유전자 추출법과 이의 암 분류법에의 적용

  • Cho, Hyun-Sung (School of Computer Science and Electronic Engineering) ;
  • Kim, Tae-Seon (Catholic Univ. of Korea) ;
  • Jeon, Sung-Mo (School of Computer Science and Electronic Engineering) ;
  • Wee, Jae-Woo (School of Computer Science and Electronic Engineering) ;
  • Lee, Chong-Ho (School of Computer Science and Electronic Engineering)
  • 조현성 (인하대학교 정보통신공학과) ;
  • 김태선 (가톨릭대학교 컴퓨터.전자공학부) ;
  • 전성모 (인하대학교 정보통신공학과) ;
  • 위재우 (인하대학교 정보통신공학과) ;
  • 이종호 (인하대학교 정보통신공학과)
  • Published : 2002.07.10
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Abstract

Classification method of cancers using cDNA microarrays data was developed using genetic algorithms and neural networks. For gene selection, 2308 genes were ranked using genetic algorithms, and selected by frequency number of selection from 1000 of genetic iterative runs. To calculate fitness values, artificial neural networks are used as classifier. The small, round blue cell tumors (SRBCTs) which is difficult to distinguish via pathological single test was used as test diseases for classification, and the test results showed the 96% of exact classification capability for 25 test samples.

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