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...
Enregistré dans:
Auteurs principaux: | László Zimányi, Áron Sipos, Ferenc Sarlós, Rita Nagypál, Géza I Groma |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/e88b2b61fc964484b4244df70b46cab5 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Kinetics and Energetics of Intramolecular Electron Transfer in Single-Point Labeled TUPS-Cytochrome <i>c</i> Derivatives
par: Petro Khoroshyy, et autres
Publié: (2021) -
Machine Learning-Based Estimation of Ground Reaction Forces and Knee Joint Kinetics from Inertial Sensors While Performing a Vertical Drop Jump
par: Serena Cerfoglio, et autres
Publié: (2021) -
Visualization and curve-parameter estimation strategies for efficient exploration of phenotype microarray kinetics.
par: Lea A I Vaas, et autres
Publié: (2012) -
Kinetic Study of Esterification Reaction
par: Haider A. Al-Jendeel, et autres
Publié: (2010) -
Progress in reaction kinetics and mechanism
Publié: (1999)