Detecting Significant Changes in Protein Abundance.
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ABSTRACT:
SUBMITTER: Kammers K
PROVIDER: S-EPMC4373093 | biostudies-literature | 2015 Jun
REPOSITORIES: biostudies-literature
Publications
Detecting Significant Changes in Protein Abundance.
Kammers Kai K Cole Robert N RN Tiengwe Calvin C Ruczinski Ingo I
EuPA open proteomics 20150601
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 labeled proteomic experiments we show how to analyze data from multiple experiments simultaneously, and discuss the effects of missing data on the inference. We also present easy to use open source software for norm ...[more]
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