Application of meta-analysis methods for identifying proteomic expression level differences

B Amess, W Kluge, E Schwarz, F Haenisch, M Alsaif, RH Yolken, FM Leweke, PC Guest, Sabine Bahn

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

We present new statistical approaches for identification of proteins with expression levels that are significantly changed when applying meta-analysis to two or more independent experiments. We showed that the Euclidean distance measure has reduced risk of false positives compared to the rank product method. Our Psi-ranking method has advantages over the traditional fold-change approach by incorporating both the fold-change direction as well as the p-value. In addition, the second novel method, Pi-ranking, considers the ratio of the fold-change and thus integrates all three parameters. We further improved the latter by introducing our third technique, Sigma-ranking, which combines all three parameters in a balanced nonparametric approach.
Original languageUndefined/Unknown
Pages (from-to)2072-2076
Number of pages5
JournalProteomics
Volume13
Issue number14
DOIs
Publication statusPublished - 2013

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