alexa Statistics for proteomics: experimental design and 2-DE differential analysis.
Bioinformatics & Systems Biology

Bioinformatics & Systems Biology

Journal of Proteomics & Bioinformatics

Author(s): Chich JF, David O, Villers F, Schaeffer B, Lutomski D,

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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. This article was published in J Chromatogr B Analyt Technol Biomed Life Sci and referenced in Journal of Proteomics & Bioinformatics

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