Affiliation:
1. V. L. Talrose Institute for Energy Problems of Chemical Physics N. N. Semenov Federal Research Center of Chemical Physics Russian Academy of Sciences Moscow Russia
Abstract
AbstractThe coefficient of variation (CV) is often used in proteomics as a proxy to characterize the performance of a quantitation method and/or the related software. In this note, we question the excessive reliance on this metric in quantitative proteomics that may result in erroneous conclusions. We support this note using a ground‐truth Human‐Yeast‐E. coli dataset demonstrating in a number of cases that erroneous data processing methods may lead to a low CV which has nothing to do with these methods’ performances in quantitation.
Funder
Russian Science Foundation
Subject
Molecular Biology,Biochemistry
Cited by
3 articles.
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