Statistical tools for synthesizing lists of differentially expressed features in related experiments |
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| Authors: | Marta Blangiardo Sylvia Richardson |
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| Affiliation: | (1) Centre for Biostatistics, Imperial College, St Mary's Campus, Norfolk Place, London, W2 1PG, UK |
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| 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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