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PloS one DOI:10.1371/journal.pone.0007454

Empirical Bayes analysis of quantitative proteomics experiments.

Publication TypeJournal Article
Year of Publication2009
AuthorsMargolin, AA, Ong, SE, Schenone, M, Gould, R, Schreiber, SL, Carr, SA, Golub, TR
JournalPloS one
Volume4
Issue10
Pagese7454
Date Published2009/10/14
Abstract

Advances in mass spectrometry-based proteomics have enabled the incorporation of proteomic data into systems approaches to biology. However, development of analytical methods has lagged behind. Here we describe an empirical Bayes framework for quantitative proteomics data analysis. The method provides a statistical description of each experiment, including the number of proteins that differ in abundance between 2 samples, the experiment's statistical power to detect them, and the false-positive probability of each protein.

URLhttp://dx.plos.org/10.1371/journal.pone.0007454
DOI10.1371/journal.pone.0007454
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/19829701?dopt=Abstract