KUPS - About Us

Research Area

Our research focus is on developing novel data mining and machine learning algorithms to accelerate knowledge discovery in life science and engineering fields. We are interested in analyzing a variety of biological data, particularly, high-throughput data including gene expression profiles, protein sequences and structures, protein-protein interactions, biological pathways and disease phenotypes. Specifically, our research covers:

Machine Learning / Data Mining
  • Feature selection (search methods, evaluation function)
  • Bayesian networks
  • Random forest
  • Small sample classification
  • Image retrieva
  • Analyzing and annotating protein functions
  • Identifying protein interface residues
  • Understanding gene regulation mechanism
  • Analyzing microarray data
Systems Biology
  • Elucidating protein interaction networks
  • Understanding genetic regulatory networks
  • Identifying modular structures in biological pathways
Cancer Biology
  • Identifying biomarkers from gene expression profiles
  • Cancer diagnosis and classification using mass-spectrometry data
  • Analyzing cancer pathways
  • Understanding the connection between static/dynamic biomolecule interactions and diseases

Contact Info

Center for Bioinformatics
260, MRB
2030 Becker Dr. The University of Kansas
Lawrence, KS 66047-1620

e-mail: Jong Cheol Jeong ()
homepage: http://people.eecs.ku.edu/~jjeong