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

Bob Amess, Wolfgang Kluge, Emanuel Schwarz, Frieder Haenisch, Murtada Alsaif, Robert H. Yolken, F. Markus Leweke, Paul C. Guest, Sabine Bahn

Research output: Contribution to journalArticlepeer-review


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 Ψ-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, Π-ranking, considers the ratio of the fold-change and thus integrates all three parameters. We further improved the latter by introducing our third technique, Σ-ranking, which combines all three parameters in a balanced nonparametric approach.

Original languageEnglish (US)
Pages (from-to)2072-2076
Number of pages5
Issue number14
StatePublished - Jul 2013


  • Bipolar disorder
  • Fold-change
  • Meta analysis
  • Statistics
  • Technology

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology


Dive into the research topics of 'Application of meta-analysis methods for identifying proteomic expression level differences'. Together they form a unique fingerprint.

Cite this