Toward an Integrated Machine Learning Model of a Proteomics Experiment

[Image: see text] In recent years machine learning has made extensive progress in modeling many aspects of mass spectrometry data. We brought together proteomics data generators, repository managers, and machine learning experts in a workshop with the goals to evaluate and explore machine learning a...

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Detalles Bibliográficos
Autores principales: Neely, Benjamin A., Dorfer, Viktoria, Martens, Lennart, Bludau, Isabell, Bouwmeester, Robbin, Degroeve, Sven, Deutsch, Eric W., Gessulat, Siegfried, Käll, Lukas, Palczynski, Pawel, Payne, Samuel H., Rehfeldt, Tobias Greisager, Schmidt, Tobias, Schwämmle, Veit, Uszkoreit, Julian, Vizcaíno, Juan Antonio, Wilhelm, Mathias, Palmblad, Magnus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990124/
https://www.ncbi.nlm.nih.gov/pubmed/36744821
http://dx.doi.org/10.1021/acs.jproteome.2c00711

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990124/
https://www.ncbi.nlm.nih.gov/pubmed/36744821
http://dx.doi.org/10.1021/acs.jproteome.2c00711

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