Kevin Schey
Last active: 3/24/2020

A statistical model for iTRAQ data analysis.

Hill EG, Schwacke JH, Comte-Walters S, Slate EH, Oberg AL, Eckel-Passow JE, Therneau TM, Schey KL
J Proteome Res. 2008 7 (8): 3091-101

PMID: 18578521 · PMCID: PMC2722948 · DOI:10.1021/pr070520u

We describe biological and experimental factors that induce variability in reporter ion peak areas obtained from iTRAQ experiments. We demonstrate how these factors can be incorporated into a statistical model for use in evaluating differential protein expression and highlight the benefits of using analysis of variance to quantify fold change. We demonstrate the model's utility based on an analysis of iTRAQ data derived from a spike-in study.

MeSH Terms (15)

Amino Acid Sequence Analysis of Variance Caseins Chromatography, High Pressure Liquid Enzymes Gene Expression Profiling Humans Mass Spectrometry Models, Statistical Molecular Sequence Data Protein Biosynthesis Protein Folding Proteins Serum Albumin, Bovine Software

Connections (1)

This publication is referenced by other Labnodes entities:

Links