Bayesian infinite mixture model based clustering of gene expression profiles
نویسندگان
چکیده
منابع مشابه
Bayesian infinite mixture model based clustering of gene expression profiles
MOTIVATION The biologic significance of results obtained through cluster analyses of gene expression data generated in microarray experiments have been demonstrated in many studies. In this article we focus on the development of a clustering procedure based on the concept of Bayesian model-averaging and a precise statistical model of expression data. RESULTS We developed a clustering procedur...
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OUTLINE: 1. Additional ROC curves for the simulation study 2. Patterns of gene expression based on the joint analysis of cell cycle and sporulation data. 3. Patterns of gene expression based on the analysis of individual datasets (cell cycle and sporulation) separately. 4. Prior and posterior conditional probability distributions in the context-specific infinite mixture model. 5. Dynamic anneal...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2002
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/18.9.1194