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초록
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.
- 제목
- 신경회로망과 유전 알고리즘을 이용한 유전자 추출법과 이의 암 분류법에의 적용
- 저자
- CHONG HO LEE
- 학회명
- 전기학회하계학술대회