Co-regulated gene fuzzy cluster by expression changing quantity and tendency

This paper use the SMBS correlation coefficient and Fuzzy C means cluster algorithm to cluster the gene expression data. The algorithm will cover positive and negative co-regulated genes by measuring their changing quantity and tendency, and get the cluster result according to their true regulatory...

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Hauptverfasser: Li Zhang, Huanli Pang, LianZhe Zhou, Han Wang, XiaoHu Wang
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:This paper use the SMBS correlation coefficient and Fuzzy C means cluster algorithm to cluster the gene expression data. The algorithm will cover positive and negative co-regulated genes by measuring their changing quantity and tendency, and get the cluster result according to their true regulatory relationship. The regulatory machine can be figured out by the algorithm.
ISSN:2159-6026
DOI:10.1109/CMCE.2010.5609970