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mokapot: Fast and Flexible Semisupervised Learning for Peptide Detection

[Image: see text] Proteomics studies rely on the accurate assignment of peptides to the acquired tandem mass spectra—a task where machine learning algorithms have proven invaluable. We describe mokapot, which provides a flexible semisupervised learning algorithm that allows for highly customized ana...

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Detalles Bibliográficos
Autores principales: Fondrie, William E., Noble, William S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022319/
https://www.ncbi.nlm.nih.gov/pubmed/33596079
http://dx.doi.org/10.1021/acs.jproteome.0c01010