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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Autores principales: Tomi Suomi, Laura L. Elo
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/7935f0467ab84c5385fae58ec6731df8
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