PolySTest: Robust Statistical Testing of Proteomics Data with Missing Values Improves Detection of Biologically Relevant Features

Statistical testing remains one of the main challenges for high-confidence detection of differentially regulated proteins or peptides in large-scale quantitative proteomics experiments by mass spectrometry. Statistical tests need to be sufficiently robust to deal with experiment intrinsic data struc...

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Detalles Bibliográficos
Autores principales: Schwämmle, Veit, Hagensen, Christina E., Rogowska-Wrzesinska, Adelina, Jensen, Ole N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Biochemistry and Molecular Biology 2020
Materias:
Technological Resources and Innovation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015005/
https://www.ncbi.nlm.nih.gov/pubmed/32424025
http://dx.doi.org/10.1074/mcp.RA119.001777

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8015005/
https://www.ncbi.nlm.nih.gov/pubmed/32424025
http://dx.doi.org/10.1074/mcp.RA119.001777

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