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Volumn , Issue , 2007, Pages 385-392

A multi-objective approach to discover biclusters in microarray data

Author keywords

Biclustering; Evolutionary algorithms; Gene expression data

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTATION THEORY; DATA REDUCTION; GENE EXPRESSION; MULTIOBJECTIVE OPTIMIZATION;

EID: 34548066912     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1276958.1277038     Document Type: Conference Paper
Times cited : (57)

References (20)
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    • Aguilar-Ruiz, J.S.1    Divina, F.2
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    • J. S. Aguilar-Ruiz, R. Giraldez, and J. C. Riquelme. Natural encoding for evolutionary supervised learning. IEEE Transactions on Evolutionary Computation, page in press, 2007.
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    • Bleuler, S.1    Zitzler, E.2
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    • The good of the many outweighs the good of the one: Evolutionary multi-objective optimization
    • February
    • D. Corne, K. Deb, and P. J. Fleming. The good of the many outweighs the good of the one: evolutionary multi-objective optimization. IEEE Connections Newsletter, 1(1):9-13, February 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.