Statistical tools for synthesizing lists of differ...[Genome Biol. 2007]

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

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

Blangiardo M, Richardson S.

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

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

Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments. [BMC Bioinformatics. 2006]
Comments on 'Bayesian hierarchical error model for analysis of gene expression data'. [Bioinformatics. 2006]
Bayesian hierarchical model for identifying changes in gene expression from microarray experiments. [J Comput Biol. 2002]
ReviewBayesian normalization and identification for differential gene expression data. [J Comput Biol. 2005]
ReviewMicroarray analysis: basic strategies for successful experiments. [Mol Biotechnol. 2007]

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

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