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Updated: Mar 19, 2026

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions
Published on: October 20, 2020
Uses and misuses of the fudge factor in quantitative discovery proteomics
Quentin Giai Gianetto1, Yohann Couté1, Christophe Bruley1
1BIG-BGE (Université Grenoble-Alpes, CNRS, CEA, INSERM), Grenoble, France.
Abstract:
Selecting proteins with significant differential abundance is the cornerstone of many relative quantitative proteomics experiments. To do so, a trade-off between p-value thresholding and fold-change thresholding can be performed because of a specific parameter, named fudge factor, and classically noted s0 . We have observed that this fudge factor is routinely turned away from its original (and statistically valid) use, leading to important distortion in the distribution of p-values, jeopardizing the protein differential analysis, as well as the subsequent biological conclusion. In this article, we provide a comprehensive viewpoint on this issue, as well as some guidelines to circumvent it.

