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Genome Biol. 2007;8(4):R54.

Statistical tools for synthesizing lists of differentially expressed features in related experiments.

Author information

  • 1Centre for Biostatistics, Imperial College, St Mary's Campus, Norfolk Place, London, UK. m.blangiardo@imperial.ac.uk

Abstract

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.

PMID:
17428330
[PubMed - indexed for MEDLINE]
PMCID:
PMC1896017
Free PMC Article

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