Enhanced differential expression statistics for data-independent acquisition proteomics

Abstract We describe a new reproducibility-optimization method ROPECA for statistical analysis of proteomics data with a specific focus on the emerging data-independent acquisition (DIA) mass spectrometry technology. ROPECA optimizes the reproducibility of statistical testing on peptide-level and ag...

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Bibliographic Details
Main Authors: Tomi Suomi, Laura L. Elo
Format: Article
Language:English
Published: Nature Publishing Group 2017-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-05949-y