منابع مشابه
Model-based Bayesian clustering (MBBC)
MOTIVATION The program MBBC 2.0 clusters time-course microarray data using a Bayesian product partition model. RESULTS The Bayesian product partition model in Booth et al. (2007) simultaneously searches for the optimal number of clusters, and assigns cluster memberships based on temporal changes of gene expressions. MBBC 2.0 to makes this method easily available for statisticians and scientis...
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MBBC (Model-Based Bayesian Clustering) is developed to cluster longitudinal microarray data using a Bayesian objective function. This algorithm has advantages over conventional methods in that it clusters genes based on temporal changes of gene expressions and searches for the optimal number of clusters, as well as members of each cluster, without needing prior information. It is implemented us...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2008
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btn030