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...

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Detalles Bibliográficos
Autores principales: Samanipour, Saer, Choi, Phil, O’Brien, Jake W., Pirok, Bob W. J., Reid, Malcolm J., Thomas, Kevin V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
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

Internet

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

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