High Dimensional Biological Data

Dr. Ogihara and the Data Mining Group at CCS are currently developing methods for estimating abundance of transcriptomes from high-throughput sequencing data using fast solutions to the Least Squares Problem.

Soft clustering of activation profiles

Also, with Vineet Gupta (Department of Medicine at UM) and a former CCS scientist,Qiong Cheng (University of Illinois), Dr. Ogihara  is developing methods for inferring dynamics of protein-protein interaction through integration of interaction data (Y2H data, for example) and activation data.  In this study an input network is examined to identify sets of interactions that are likely to occur at different times and then using that information activation patterns are grouped into clusters. (Fig. 2)