Welcome to Machine Learning and Evolution Laboratory (MLEG) at the Department of Computer Science and Engineering, University of South Carolina. Our research focuses on development of machine learning, data mining, and evolutionary algorithms for knowledge discovery and innovation in bioinformatics, science, and engineering. We have worked on DNA regulatory motif discovery, microarray analysis, phenotype prediction/computational disease diagnosis, and gene/protein function prediction.

Currently, we are working on the protein targeting motif analysis and protein localization prediction problem. A typical protein has a size of only 10um while it contains about 1 billion proteins. How these proteins are targeted to their functional location within or outside of the cell is not well understood. It is known that most proteins carry a "postal code" or "address tag" like signals in the amino acid sequences. A complete understanding of these signals will greatly help to understand how the cells are assembled. We are also interested in developping algorithms for computational synthesis of mechtronics systems using genetic programming and bond graphs.