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


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.

SUBMITTER: Blangiardo M 

PROVIDER: S-EPMC1896017 | biostudies-literature | 2007

REPOSITORIES: biostudies-literature

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

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]

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