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>Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
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Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
BackgroundTranscriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental technologies, gene expression microarrays and Chromatin Immuno-Precipitation on Chip (ChIP-chip), are capable of producing data informative about expression regulatory mechanism on a genome scale. The optimal approach to joint modeling of data generated by these two complementary biological assays, with the goal of identifying and characterizing TMs, is an important open problem in computational biomedicine.
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