Computational analysis of gene expressionPublic
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This project created a computational biology tool to discover regulatory regions in DNA and their influence on gene expression. First, motifs in the C. elegans genome were found using an expectation maximization algorithm. Then association rules were mined to correlate the presence of motifs with cell-type expressions. A software system, CAGE, was created to perform this process. CAGE generated various types of models that pinpoint the biological significance of the motifs. The predictive accuracy of the models was assessed.
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