Literature DB >> 18052118

Posterior error probabilities and false discovery rates: two sides of the same coin.

Lukas Käll1, John D Storey, Michael J MacCoss, William Stafford Noble.   

Abstract

A variety of methods have been described in the literature for assigning statistical significance to peptides identified via tandem mass spectrometry. Here, we explain how two types of scores, the q-value and the posterior error probability, are related and complementary to one another.

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Year:  2007        PMID: 18052118     DOI: 10.1021/pr700739d

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  125 in total

Review 1.  Generating and navigating proteome maps using mass spectrometry.

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2.  The discordant method: a novel approach for differential correlation.

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Journal:  Bioinformatics       Date:  2015-10-31       Impact factor: 6.937

3.  Rapid validation of Mascot search results via stable isotope labeling, pair picking, and deconvolution of fragmentation patterns.

Authors:  Samuel L Volchenboum; Kolbrun Kristjansdottir; Donald Wolfgeher; Stephen J Kron
Journal:  Mol Cell Proteomics       Date:  2009-05-11       Impact factor: 5.911

4.  Target-Decoy-Based False Discovery Rate Estimation for Large-Scale Metabolite Identification.

Authors:  Xusheng Wang; Drew R Jones; Timothy I Shaw; Ji-Hoon Cho; Yuanyuan Wang; Haiyan Tan; Boer Xie; Suiping Zhou; Yuxin Li; Junmin Peng
Journal:  J Proteome Res       Date:  2018-05-29       Impact factor: 4.466

5.  Target-decoy search strategy for mass spectrometry-based proteomics.

Authors:  Joshua E Elias; Steven P Gygi
Journal:  Methods Mol Biol       Date:  2010

6.  Normalization and statistical analysis of quantitative proteomics data generated by metabolic labeling.

Authors:  Lily Ting; Mark J Cowley; Seah Lay Hoon; Michael Guilhaus; Mark J Raftery; Ricardo Cavicchioli
Journal:  Mol Cell Proteomics       Date:  2009-07-14       Impact factor: 5.911

7.  Linear discriminant analysis-based estimation of the false discovery rate for phosphopeptide identifications.

Authors:  Xiuxia Du; Feng Yang; Nathan P Manes; David L Stenoien; Matthew E Monroe; Joshua N Adkins; David J States; Samuel O Purvine; David G Camp; Richard D Smith
Journal:  J Proteome Res       Date:  2008-04-19       Impact factor: 4.466

8.  RT-SVR+q: a strategy for post-Mascot analysis using retention time and q value metric to improve peptide and protein identifications.

Authors:  Weifeng Cao; Di Ma; Arvinder Kapur; Manish S Patankar; Yadi Ma; Lingjun Li
Journal:  J Proteomics       Date:  2011-08-24       Impact factor: 4.044

9.  Angiogenic and Immunologic Proteins Identified by Deep Proteomic Profiling of Human Retinal and Choroidal Vascular Endothelial Cells: Potential Targets for New Biologic Drugs.

Authors:  Justine R Smith; Larry L David; Binoy Appukuttan; Phillip A Wilmarth
Journal:  Am J Ophthalmol       Date:  2018-03-17       Impact factor: 5.258

Review 10.  Proteomic insights into an expanded cellular role for cytoplasmic lipid droplets.

Authors:  Brittany D M Hodges; Christine C Wu
Journal:  J Lipid Res       Date:  2009-11-03       Impact factor: 5.922

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