Ontology highlight
ABSTRACT:
SUBMITTER: Blangiardo M
PROVIDER: S-EPMC1896017 | biostudies-literature | 2007
REPOSITORIES: biostudies-literature
Blangiardo Marta M Richardson Sylvia S
Genome biology 20070101 4
We propose a novel approach for finding a list of features that are commonly perturbed in two or more experiments, quantifying the evidence of dependence between the experiments by a ratio. We present a Bayesian analysis of this ratio, which leads us to suggest two rules for choosing a cut-off on the ranked list of p values. We evaluate and compare the performance of these statistical tools in a simulation study, and show their usefulness on two real datasets. ...[more]