Massively high-throughput genomics and the future of statistical biology (Neyman Seminar)

Massively high-throughput genomics and the future of statistical biology (Neyman Seminar)

Neyman Seminar
Oct 3, 2012, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Ben Brown, Statistics, UC Berkeley (Speaker)
My research focuses on expanding and identifying the limits of biological inference from extremely large genomics datasets. We now have terabytes of information in the forms of sequences and images, often from heterogeneous sources with radically different signal to noise ratios. Ostensibly simple questions have proved surprisingly difficult to answer well. Understanding the reproducibility of...