COLLOQUIUM
Department of Computer Science and Engineering
University of South Carolina
 
Machine Learning and Data Mining in Protein Bioinformatics

 Jianjun Hu

 Department of Computer Science and Engineering
University of South Carolina

Date: April 8, 2011 (Friday)
Time: 1430-1520 (2:30-3:20pm)
Place: Swearingen 2A31

Abstract

Data mining and machine learning have been intensively applied to
bioinformatics problems due to the increasingly large amount of data
to be analyzed. Computational prediction of protein subcellular
localization and protein binding sites are among the major set of
functional genomics problems. Here we present our recent work on
network based protein localization prediction using diffusion kernel,
ensemble localization prediction algorithms, and computational
prediction of heme protein binding sites using sequential and
structural information.

Jianjun Hu is an Assistant Professor in the department of Computer
Science and Engineering at the University of South Carolina.  He
received the Ph.D. degree in Computer Science from Michigan State
University in 2004. From 2004 to 2007, he worked as a Postdoc in
bioinformatics at Purdue University and the University of Southern
California.  In 2007, he joined the Department of Computer Science and
Engineering at the University of South Carolina. His research
interests include bioinformatics, data mining, machine learning, and
evolutionary algorithms.