Divisive Correlation Clustering Algorithm (DCCA) for grouping of genes: detecting varying patterns in expression profiles
نویسندگان
چکیده
منابع مشابه
Divisive Correlation Clustering Algorithm (DCCA) for grouping of genes: detecting varying patterns in expression profiles
MOTIVATION Cluster analysis (of gene-expression data) is a useful tool for identifying biologically relevant groups of genes that show similar expression patterns under multiple experimental conditions. Various methods have been proposed for clustering gene-expression data. However most of these algorithms have several shortcomings for gene-expression data clustering. In the present article, we...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2008
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btn133