Machine-learning model selection and parameter estimation from kinetic data of complex first-order reaction systems.

Dealing with a system of first-order reactions is a recurrent issue in chemometrics, especially in the analysis of data obtained by spectroscopic methods applied on complex biological systems. We argue that global multiexponential fitting, the still common way to solve such problems, has serious wea...

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Auteurs principaux: László Zimányi, Áron Sipos, Ferenc Sarlós, Rita Nagypál, Géza I Groma
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2021
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Accès en ligne:https://doaj.org/article/e88b2b61fc964484b4244df70b46cab5
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