Wagner Lab
Michael Wagner, PhD, is an assistant professor in the Division of Biomedical Informatics at Cincinnati Children's Research Foundation. Dr. Wagner works on applications of machine learning techniques to bioinformatics problems such as protein structure prediction, disease classification and protein identification. With graduate student Rachana Jain, Dr. Wagner is investigating machine learning-based scoring algorithms for peptide mass fingerprinting to better understand how to optimally mine mass spectrometry data to make high-confidence predictions of protein identities. The underlying computational engine for many of these problems is a massively parallel implementation of a linear programming solver (PCx) that can solve large-scale support vector regression, support vector machine and linear feasibility problems.
Funding support comes from grants with Ron Elber, PhD (Cornell Computer Science), Susan Thompson, PhD (Cincinnati Children's Division of Rheumatology), and David Millhorn, PhD (formerly of Genome Research Institute, University of Cincinnati).
Contact Us
For more information, contact Michael Wagner, PhD.
