Borrowing strength: a likelihood ratio test for related sparse signals.

ABSTRACT:

Motivation

Cancer biology is a field where the complexity of the phenomena battles against the availability of data. Often only a few observations per signal source, i.e. genes, are available. Such scenarios are becoming increasingly more relevant as modern sensing technologies generally have no trouble in measuring lots of channels, but where the number of subjects, such as patients or samples, is limited. In statistics, this problem falls under the heading 'large p, small n'. Moreover, in such situations the use of asymptotic analytical results should generally be mistrusted.

Results

We consider two cancer datasets, with the aim to mine the activity of functional groups of genes. We propose a hierarchical model with two layers in which the individual signals share a common

SUBMITTER: Wit EC 

PROVIDER: S-EPMC3400963 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature