From Centroided to Profile Mode: Machine Learning for Prediction of Peak Width in HRMS Data-Reference-Cited by-同舟云学术

From Centroided to Profile Mode: Machine Learning for Prediction of Peak Width in HRMS Data

Author:

Samanipour Saer¹²³^ORCID,Choi Phil²⁴,O’Brien Jake W.²^ORCID,Pirok Bob W. J.¹^ORCID,Reid Malcolm J.³,Thomas Kevin V.²^ORCID

Affiliation:

1. Van’t Hoff Institute for Molecular Sciences (HIMS), University of Amsterdam, Science Park 904, Amsterdam 1098 XH, The Netherlands

2. Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woolloongabba, Queensland 4102, Australia

3. Norwegian Institute for Water Research (NIVA), Økernveien 94, Oslo 0579, Norway

4. Water Unit, Health Protection Branch, Prevention Division, Queensland Department of Health, Brisbane, Queensland 4000, Australia

Funder

Queensland Health

Australian Research Council

Agilent Technologies

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

Reference47 articles.

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