The INI has a new website!

This is a legacy webpage. Please visit the new site to ensure you are seeing up to date information.

Skip to content



Refined nonparametric methods for genomic inference

Bickel, PJ (UC Berkeley)
Thursday 03 April 2008, 10:00-11:00

Seminar Room 1, Newton Institute


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.


[ppt ]




The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.

Back to top ∧