Genome Biology
Volume 8
Issue 4 |
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  MethodStatistical tools for synthesizing lists of differentially expressed features in related experimentsMarta Blangiardo  and Sylvia Richardson  Centre for Biostatistics, Imperial College, St Mary's Campus, Norfolk Place, London W2 1PG, UK  author email corresponding author email
Genome Biology 2007,
8:R54doi:10.1186/gb-2007-8-4-r54
Subject areas: Bioinformatics, Methods, Genome studies 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. | 
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