Optimization of Statistical Methods Impact on Quantitative Proteomics Data

Volume: 14, Issue: 10, Pages: 4118 - 4126
Published: Sep 8, 2015
Abstract
As tools for quantitative label-free mass spectrometry (MS) rapidly develop, a consensus about the best practices is not apparent. In the work described here we compared popular statistical methods for detecting differential protein expression from quantitative MS data using both controlled experiments with known quantitative differences for specific proteins used as standards as well as "real" experiments where differences in protein abundance...
Paper Details
Title
Optimization of Statistical Methods Impact on Quantitative Proteomics Data
Published Date
Sep 8, 2015
Volume
14
Issue
10
Pages
4118 - 4126
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