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Refined nonparametric methods for genomic inference

Presented by: 
PJ Bickel [UC Berkeley]
Date: 
Thursday 3rd April 2008 - 10:00 to 11:00
Venue: 
INI Seminar Room 1
Abstract: 

Inference about genomic features faces the particular difficulty that, save for interspecies variation, we have only one copy of any of the genomes that Nature might have produced. We postulate a framework which includes an “ergodic hypothesis” which permits us to compute p values and confidence bounds. These seem to be as conservative as could be hoped for. Out methods in crude form were applied to data for the ENCODE project (Birney et al (2007)). We will discuss our model and refinements of the methods previously proposed.

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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons