Microsoft Online Services Division
Discovering Protein Clusters
Epstein, Susan (Hunter College and The Graduate Center of The City University of New York) | Li, Xingjian (Microsoft Online Services Division) | Valdez, Peter (Hunter College of The City University of New York) | Grayevsky, Sofia (Hunter College of The City University of New York) | Osisek, Eric (The Graduate Center of The City University of New York) | Yun, Xi (The Graduate Center of The City University of New York) | Xie, Lei (Hunter College of The City University of New York)
As biological data about genes and their interactions proliferates, scientists have the opportunity to identify sets of proteins whose interactions make them worthy of further investigation. This paper reports on a knowledge discovery technique to support that work. Foretell is an algorithm originally designed to support search for solutions to constraint satisfaction problems. Recent adaptations enable Foretell to detect sets of genes that interact heavily with one another. We provide empirical results, and describe ongoing work on biological meaning and knowledge infusion from the user.