We are developing new computational methods to use genomic DNA methylation and chromatin modification data to understand the functional relationship between these marks and gene expression. We have a particular interest in applying new methods in machine learning and data mining to unravel potential functional consequences of epigenetic changes in human disease, including cancer.

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