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