Journal of Proteome Research · 2008 · 203 citations · 23 references
Life SciencesBiochemistryBiostatisticsAnalytical ChemistryMass Spectrometric AnalysisProteomicsBottom-up ProteomicsMass SpectrometryMass Spectrometry Data AnalysisMass Spectrometry-based ProteomicsProteomics Data IntegrationQuantitative ProteomicsData Analysis AlgorithmsMass Spectral Data AnalysisNormalizationProteomic Data AnalysisProteomic Data NormalizationQuantitative Proteomics WorkflowsUnbiased Evaluation
Statistical tools enable unified analysis of data from multiple global proteomic experiments, producing unbiased estimates of normalization terms despite the missing data problem inherent in these studies. The modeling approach, implementation, and useful visualization tools are demonstrated via a case study of complex biological samples assessed using the iTRAQ relative labeling protocol.
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Robert A. Koyak, T. J. Hastie, Ryan J. Tibshirani · Journal of the American Statistical Association · 1991 · 7.7K citations
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
Steven P. Gygi, Beate Rist, Scott A. Gerber et al. · Nature Biotechnology · 1999 · 4.7K citations