The full Bayesian significance test for mixture models: results in gene expression clustering
نویسندگان
چکیده
منابع مشابه
The full Bayesian significance test for mixture models: results in gene expression clustering.
Gene clustering is a useful exploratory technique to group together genes with similar expression levels under distinct cell cycle phases or distinct conditions. It helps the biologist to identify potentially meaningful relationships between genes. In this study, we propose a clustering method based on multivariate normal mixture models, where the number of clusters is predicted via sequential ...
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ژورنال
عنوان ژورنال: Genetics and Molecular Research
سال: 2008
ISSN: 1676-5680
DOI: 10.4238/vol7-3x-meeting06