2017
DOI: 10.1021/acs.jproteome.6b01050
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Statistical Models for the Analysis of Isobaric Tags Multiplexed Quantitative Proteomics

Abstract: Mass spectrometry is being used to identify protein biomarkers that can facilitate development of drug treatment. Mass spectrometry-based labeling proteomic experiments result in complex proteomic data that is hierarchical in nature often with small sample size studies. The generalized linear model (GLM) is the most popular approach in proteomics to compare protein abundances between groups. However, GLM does not address all the complexities of proteomics data such as repeated measures and variance heterogenei… Show more

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Cited by 34 publications
(31 citation statements)
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“…Day 1 was not included as we did not detect any DHQ in those samples and tandem mass tags for labeling was, at the time, limited to 10 tags. We used the eBayes() function in the R limma package (Ritchie et al, 2015) (version 3.36.5) to determine significant differences between groups in each tissue (D'Angelo et al, 2017). Tissues were analysed separately as they were TMT-labeled and run separately on the mass spectrometer.…”
Section: Discussionmentioning
confidence: 99%
“…Day 1 was not included as we did not detect any DHQ in those samples and tandem mass tags for labeling was, at the time, limited to 10 tags. We used the eBayes() function in the R limma package (Ritchie et al, 2015) (version 3.36.5) to determine significant differences between groups in each tissue (D'Angelo et al, 2017). Tissues were analysed separately as they were TMT-labeled and run separately on the mass spectrometer.…”
Section: Discussionmentioning
confidence: 99%
“…For the TMT quantification, the LIBRA (Trans-proteome pipeline, version 4.2.1) program was used to quantitate the label-based quantitation peptide and protein identifications. A fold change greater than 1.2 or less than 0.8 was considered statistically significant 51 , 52 .…”
Section: Methodsmentioning
confidence: 99%
“…Benchmark dataset D'Angelo et al performed a comparison of different approaches to analyse TMT datasets 19 .…”
Section: Performance Tests By Reprocessing Public Datamentioning
confidence: 99%