Supervised machine learning in the mass spectrometry laboratory: A tutorial

As the demand for laboratory testing by mass spectrometry increases, so does the need for automated methods for data analysis. Clinical mass spectrometry (MS) data is particularly well-suited for machine learning (ML) methods, which deal nicely with structured and discrete data elements. The alignme...

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Detalles Bibliográficos
Autores principales: Lee, Edward S., Durant, Thomas J.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Special issue on Data Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692990/
https://www.ncbi.nlm.nih.gov/pubmed/34984411
http://dx.doi.org/10.1016/j.jmsacl.2021.12.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692990/
https://www.ncbi.nlm.nih.gov/pubmed/34984411
http://dx.doi.org/10.1016/j.jmsacl.2021.12.001

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