Genome-wide discovery of transcriptional modules from DNA sequence and gene expression.

摘要: In this paper, we describe an approach for understanding transcriptional regulation from both gene expression and promoter sequence data. We aim to identify modules—sets of genes that are co-regulated in a set experiments, through common motif profile. Using the EM algorithm, our refines module assignment profile so as best explain data function motifs. It also dynamically adds deletes motifs, required provide genome-wide explanation evaluate method on two Saccharomyces cerevisiae sets, showing is better than standard one at recovering known motifs generating biologically coherent modules. combine results with binding localization obtain regulatory relationships transcription factors, show many inferred have support literature.