Detecting significant changes in protein abundance
We review and demonstrate how an empirical Bayes method, shrinking a protein's sample variance towards a pooled estimate, leads to far more powerful and stable inference to detect significant changes in protein abundance compared to ordinary t-tests. Using examples from isobaric mass labelled p...
Main Authors: | Kai Kammers, Robert N. Cole, Calvin Tiengwe, Ingo Ruczinski |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2015-06-01
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Series: | EuPA Open Proteomics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2212968515000069 |
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