Significance Analysis of Spectral Count Data in Label-free Shotgun Proteomics
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Open Access
- 1 December 2008
- journal article
- Published by Elsevier in Molecular & Cellular Proteomics
- Vol. 7 (12), 2373-2385
- https://doi.org/10.1074/mcp.m800203-mcp200
Abstract
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This publication has 39 references indexed in Scilit:
- Analysis and validation of proteomic data generated by tandem mass spectrometryNature Methods, 2007
- Differential quantitative proteomics of Porphyromonas gingivalis by linear ion trap mass spectrometry: Non-label methods comparison, q-values and LOWESS curve fittingInternational Journal of Mass Spectrometry, 2007
- Advances and Challenges in Liquid Chromatography-Mass Spectrometry-based Proteomics Profiling for Clinical ApplicationsMolecular & Cellular Proteomics, 2006
- BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experimentsNucleic Acids Research, 2006
- Mass Spectrometry and Protein AnalysisScience, 2006
- Comparison of Label-free Methods for Quantifying Human Proteins by Shotgun ProteomicsMolecular & Cellular Proteomics, 2005
- Multiplexed Protein Quantitation in Saccharomyces cerevisiae Using Amine-reactive Isobaric Tagging ReagentsMolecular & Cellular Proteomics, 2004
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray ExperimentsStatistical Applications in Genetics and Molecular Biology, 2004
- Significance analysis of microarrays applied to the ionizing radiation responseProceedings of the National Academy of Sciences, 2001
- Generalized Linear Models with Random Effects; a Gibbs Sampling ApproachJournal of the American Statistical Association, 1991