Outcome prediction in
early-discovery breast cancer: Hope,
Hype and Physics.
Eitan Domany
Abstract
Considerable
effort has been devoted during the recent five years to identify a gene
expression signature that predicts outcome of early-discovery breast cancer. Different groups
used different cohorts of patients and different DNA microarrays
to produce short-lists of predictive genes, and reported high success rates.
I will
review some of this work, point out problematic aspects of it and present
PAC-ranking, a method designed to estimate the number of training samples needed
to produce a robust predictive gene
list.