An evolutionary clustering algorithm for gene expression microarray data analysis

Clustering is concerned with the discovery of interesting groupings of records in a database. Many algorithms have been developed to tackle clustering problems in a variety of application domains. In particular, some of them have been used in bioinformatics research to uncover inherent clusters in g...

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Veröffentlicht in:	IEEE transactions on evolutionary computation 2006-06, Vol.10 (3), p.296-314
Hauptverfasser:	Ma, P.C.H., Chan, K.C.C., Xin Yao, Chiu, D.K.Y.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial intelligence Binding sites Bioinformatics Biological cells Biological system modeling Chromosomes Clustering Clustering algorithms Clusters Computer science control theory systems Computer simulation Data analysis DNA sequence analysis Encoding Evolutionary Evolutionary algorithms evolutionary algorithms (EAs) Evolutionary computation Exact sciences and technology Gene expression gene expression microarray data analysis Learning and adaptive systems Studies Testing
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