School Seminars and Colloquia

Gene set testing, stem cells and breast cancer

Statistics Seminar

by Gordon K Smyth

Institution: Walter and Eliza Hall Institute of Medical Research
Date: Tue 23rd August 2011
Time: 1:00 PM
Location: Room 213 Richard Berry Building, University of Melbourne

Abstract: In genomic analyses of gene activity, a key problem is to detect genes which change in activity levels between conditions. This leads to a very high dimensional version of model fitting and hypothesis testing. This talk will consider a variant of the problem in which we want to test whether a set of co-regulated genes changes as a group, attaching one p-value to whole set instead of doing genewise tests. This poses challenging statistical problems in that the correlations between the genes are unknown and the sample sizes are tiny. In this talk, we develop three approaches to gene set testing and apply them to solve an iconic problem in cancer biology, identifying the cell of origin for the most invasive form of breast cancer.

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