Statistics and Genomics Seminar

Recent & Upcoming Statistics and Genomics Seminars

Professor John Kornak, Department of Epidemiology and Biostatistics, UC San Francisco
Nov 3, 2016 4:00pm
Bayesian image analysis provides a solution for improving image quality relative to deterministic methods such as linear filtering, by balancing a priori expectations of image characteristics with a model for the noise process. However, conventional Bayesian image analysis models, defined in the space of the image itself, are not as frequently used in practice as they could be. The reason for the...
Dr. Rachel Wang, Department of Statistics, Stanford University
Nov 10, 2016 4:00pm
Genome-wide chromosome conformation capture techniques such as Hi-C enable the generation of 3D genome contact maps and offer new pathways toward understanding the spatial organization of genome. It is widely recognized that chromosomes form domains of enriched interactions playing significant roles in gene regulation and development. In particular, it is of interest to identify densely...
Professor Noah Zaitlen, Department of Medicine, UC San Francisco
Nov 17, 2016 4:00pm
Testing for associations in big data faces the problem of multiple comparisons, with true signals buried inside the noise of all associations queried. This is particularly true in genetic association studies where a substantial proportion of the variation of human phenotypes is driven by numerous genetic variants of small effect. The current strategy to improve power to identify these weak...