The need for diseases models with “commons” as a mean to share data


Session type:

Stephen Friend
Merck, USA


Over the past five years extensive coherent data has been assembled into probabilistic causal models of diseases. These models show the potential power of generating larger and more comprehensive models. Leveraging significant datasets generated by the Genetics group at Rosetta, the compute clusters, and know-how, we have launched a non-profit commons called Sage in an incubator mode. New directions and examples of these models will be discussed.