Enhanced differential expression statistics for data-independent acquisition proteomics

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 aggregates...

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Detalles Bibliográficos
Autores principales: Suomi, Tomi, Elo, Laura L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517573/
https://www.ncbi.nlm.nih.gov/pubmed/28724900
http://dx.doi.org/10.1038/s41598-017-05949-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517573/
https://www.ncbi.nlm.nih.gov/pubmed/28724900
http://dx.doi.org/10.1038/s41598-017-05949-y

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