MassIVE MSV000079803

Complete Public PXD004290

Comparing the diagnostic classification accuracy of iTRAQ, peak-area, spectral-counting and emPAI methods for relative quantification in expression proteomics

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Description

We present a comparison of the diagnostic accuracy of iTRAQ with three label free methods (peak-area, spectral-counting, and emPAI) for relative quantification using a spiked proteome standard. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: iTRAQ ; Label free ; Peak area ; Spectral counting ; emPAI ; Relative quantification ; Expression proteomics

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Principal Investigators:
(in alphabetical order) 		Adam A. Dowle
Submitting User: aad100

Publications

Dowle AA, Wilson J, Thomas JR.
Comparing the diagnostic classification accuracy of iTRAQ, peak-area, spectral-counting and emPAI methods for relative quantification in expression proteomics.
J. Proteome Res. Epub 2016 Aug 22.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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