Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
نویسندگان
چکیده
منابع مشابه
Bayesian hierarchical error model for analysis of gene expression data
MOTIVATION Analysis of genome-wide microarray data requires the estimation of a large number of genetic parameters for individual genes and their interaction expression patterns under multiple biological conditions. The sources of microarray error variability comprises various biological and experimental factors, such as biological and individual replication, sample preparation, hybridization a...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2008
ISSN: 1471-2105
DOI: 10.1186/1471-2105-9-s1-s9