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J Proteome Res. 2008 Jan;7(1):225-33. doi: 10.1021/pr700734f. Epub 2008 Jan 4.

Statistical analysis of relative labeled mass spectrometry data from complex samples using ANOVA.

Author information

1
Division of Biostatistics, Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, Minnesota 55905, USA. oberg.ann@mayo.edu

Abstract

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.

PMID:
18173221
PMCID:
PMC2528956
DOI:
10.1021/pr700734f
[Indexed for MEDLINE]
Free PMC Article

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