About us

The wide-spread availability of biological data types of various forms, such as genomic and medical data, has made the use of computational approaches both easier and more inevitable than ever before. Motivated by this need to solve important bio-medical problems using computational approaches, our group works on solving several interesting problems using data mining techniques.

 
News

* Fang et al's paper on mining low-support discriminative patterns, to appear in IEEE TKDE as a regular paper, 2010.

* Atluri et al's paper on discovering coherent value bicliques in genetic interaction data, accepted at BIOKDD 2010.

* Fang et al's paper on subspace differential coexpression analysis accepted by PSB 2010.

* Pandey et al's paper on incorporating functional inter-relationships into protein function prediction algorithms accepted by BMC Bioinformatics.

* Pandey et al's paper on association analysis for real-valued data, such as microarray data, accepted at KDD 2009.

* Rohit Gupta received the ACG Olympus Award and the ACG Presidential Award at the American College of Gastroenterology (ACG) Annual Meeting, 2008



Research Supported by:




Department of Computer Science and Engineering     |     University of Minnesota

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