<p>A matrix of normalized gene expression for common genes of prior binding input and gene expression input, with genes as rows and samples as columns. Y is the matrix used for cis-regulatory mudole inference.</p>

Gene_expression

Prior transcription factor binding knowledge and target gene expression data are integrated in a Bayesian framework for functional cis-regulatory module inference. Using Gibbs sampling, we iteratively estimate transcription factor associations for each gene, regulation strength for each binding event and the hidden activity for each transcription factor.

Xi Chen

BICORN

Integrative Inference of De Novo Cis-Regulatory Modules

Y: Gene expression data used for module inference

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