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J Chromatogr B Analyt Technol Biomed Life Sci. 2007 Apr 15;849(1-2):261-72. Epub 2006 Nov 1.

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

Author information

1
INRA, Biologie Physico-Chimique des Prions, VIM 78352 Jouy-en-Josas Cedex, France. chich@jouy.inra.fr

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.

PMID:
17081811
DOI:
10.1016/j.jchromb.2006.09.033
[Indexed for MEDLINE]

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