Methods Development

Informatics Research

Biomedical Imaging

Molecular Design

Methods Development

Clinical Information Systems

Decision Sciences

Grid Computing

Methods Development

Progress in informatics is intimately associated with development, deployment, and integration of new algorithms or statistical methods that make the most out of the data sets with which we work.

At the Institute, we are working closely with our collaborators to create new analysis methods for their data. Some of our active areas are:

Analysis of time-course DNA microarray gene expression of peripheral blood mononuclear cells treated with potential bioterrorism agents.
Fitting differential equations to DNA microarray data to identify genetic regulatory networks.
Physiologically based pharmacokinetics modeling of therapeutic compounds and environmental toxicants.
Descriptive modeling (clustering) and predictive modeling (classification) of DNA microarray gene expression and clinical data.
Missing value estimation (imputation) of DNA microarray data.
Phylogenetic analysis of a new family of kinases.
Matching small drug-like molecules against each other or against receptor pockets using "Shape Signatures."
Identifying sequences within proteins or polypeptides which are especially susceptible to amyloid fibril formation
Balanced speed and accuracy in a new docking and scoring strategy, OSKAR

For additional information on methods development, contact Dr. Ming Ouyang or Dr. Bill Welsh and visit the Welsh Lab website section that discusses methods development.