Employing and Interpreting a Machine Learning Target-Cognizant Technique for Analysis of Unknown Signals in Multiple Reaction Monitoring

The aim of this interdisciplinary work is a robust signal processing and autonomous machine learning framework to associate well-known (target) as well as any potentially unknown (non-target) peaks present within gas chromatography-mass spectrometry (GC/MS/MS) raw instrument signal. Particularly, th...

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Detalles Bibliográficos
Autores principales: MCCARTHY, RYAN A., SEN GUPTA, ANANYA
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011560/
https://www.ncbi.nlm.nih.gov/pubmed/33796430
http://dx.doi.org/10.1109/access.2021.3056955

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011560/
https://www.ncbi.nlm.nih.gov/pubmed/33796430
http://dx.doi.org/10.1109/access.2021.3056955

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