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 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 language | English (US) |
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Pages (from-to) | 2072-2076 |
Number of pages | 5 |
Journal | Proteomics |
Volume | 13 |
Issue number | 14 |
DOIs | |
State | Published - Jul 2013 |
Keywords
- Bipolar disorder
- Fold-change
- Meta analysis
- Statistics
- Technology
ASJC Scopus subject areas
- Biochemistry
- Molecular Biology