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From Centroided to Profile Mode: Machine Learning for Prediction of Peak Width in HRMS Data
[Image: see text] Centroiding is one of the major approaches used for size reduction of the data generated by high-resolution mass spectrometry. During centroiding, performed either during acquisition or as a pre-processing step, the mass profiles are represented by a single value (i.e., the centroi...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674881/ https://www.ncbi.nlm.nih.gov/pubmed/34843646 http://dx.doi.org/10.1021/acs.analchem.1c03755 |