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Identification of transcriptional regulatory motifs continues to be a challenging problem in computational biology. We report a model-based procedure, MotifModeler, that uses global gene expression data to (1) identify cis-acting elements (CAE) that regulate gene expression under a given condition and (2) estimate the effects of the CAE on gene expression. MotifModeler repeatedly tests random subsets...
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