Our group embraces the data mining challenges that have resulted from high-throughput biology. Recent profiling technologies allow us to easily characterize the molecular profiles of biological samples on many levels, including genetic sequence, gene expression, protein abundance and activity, and epigenetic marks. Integrating these multidimensional data to generate biological models and testable hypotheses is a critical challenge in biomedical research. Our group uses the tools of machine learning, computer science, statistics, and network biology to integrate these disparate data types.
We have applied these tools of integrative biology to research projects that span a wide variety of disease areas and biological topics. We’ve grouped them into projects on the cutting edge and the bleeding edge.
The Cutting Edge
A representative sample of ongoing projects for which we have published papers:
The Bleeding Edge
A representative sample of ongoing projects about which we’re too excited to leave off of this page, but for which journal articles have not yet been published. (And who knows, these projects may fail spectacularly…)