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PubMed · 17081811

Statistics for proteomics: experimental design and 2-DE differential analysis.

Jean-François Chich·Olivier David·Fanny Villers·Brigitte Schaeffer·Didier Lutomski·Sylvie Huet
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Abstract

Proteomics relies on the separation of complex protein mixtures using bidimensional electrophoresis. This approach is largely used to detect the expression variations of proteins prepared from two or more samples. Recently, attention was drawn on the reliability of the results published in literature. Among the critical points identified were experimental design, differential analysis and the problem of missing data, all problems where statistics can be of help. Using examples and terms understandable by biologists, we describe how a collaboration between biologists and statisticians can improve reliability of results and confidence in conclusions.

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Electrophoresis, Gel, Two-DimensionalModels, StatisticalProteomicsReproducibility of ResultsResearch DesignJournal ArticleResearch Support, Non-U.S. Gov't

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Jean-François Chich, Olivier David, Fanny Villers, Brigitte Schaeffer, Didier Lutomski, Sylvie Huet. 2006-11-01. Statistics for proteomics: experimental design and 2-DE differential analysis.. https://doi.org/10.1016/j.jchromb.2006.09.033

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