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Interpretation of the DOME Recommendations for Machine Learning in Proteomics and Metabolomics
[Image: see text] Machine learning is increasingly applied in proteomics and metabolomics to predict molecular structure, function, and physicochemical properties, including behavior in chromatography, ion mobility, and tandem mass spectrometry. These must be described in sufficient detail to apply...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981311/ https://www.ncbi.nlm.nih.gov/pubmed/35119864 http://dx.doi.org/10.1021/acs.jproteome.1c00900 |