Title: "Managing complexity in biological networks"
Speaker:Joel Bader, Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD
Place: LILY G126; March 31,2009, Tuesday, 4:30pm


Knowledge of biological pathways adds great power to our search for genes that confer disease risk or have agricultural benefit. This talk will cover new methods for analyzing networks of biological interactions. It will highlight methods for joint analysis of multiple types of network data and new methods for linking genome- wide association studies with causal genes and pathways. A theme running through these methods is the use of Bayesian model selection to manage model complexity.

Associated reading:
Qi Y, Suhail Y, Lin YY, Boeke JD, Bader JS. Genome Res. 2008 Dec;18(12):1991-2004. Epub 2008 Oct 2. Finding friends and enemies in an enemies-only network: a graph diffusion kernel for predicting novel genetic interactions and co- complex membership from yeast genetic interactions.

Clauset A, Moore C, Newman ME. Hierarchical structure and the prediction of missing links in networks. Nature. 2008 May 1;453(7191): 98-101.

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