Michael P. Verdicchio

I’ve still been working, but just not updating this a lot.  Currently I am working on improving Bayesian network learning for gene regulatory network applications as well as generating synthetic data containing a mixture of cellular contexts (see the context mining page).  Such data will allow us to do some quantifiable analysis of the performance of context-specific network inference techniques since we’re relying only on empirical studies at the moment.  Also on the table is further study of identifying context-specific regulatory behavior, causal network inference techniques, and work on the aging project.  Classes start again in a few weeks and I’ll be taking data mining and perhaps a reading group on biomolecular networks.

My group’s manuscript, “Context-Specific Gene Regulations in Cancer Gene Expression Data,” was accepted to the 2009 Pacific Symposium on Biocomputing (link).  I’ve posted the manuscript on the Research page.