Bayesian Regression Quantifies Uncertainty of Binding Parameters from Isothermal Titration Calorimetry More Accurately Than Error Propagation

We compare several different methods to quantify the uncertainty of binding parameters estimated from isothermal titration calorimetry data: the asymptotic standard error from maximum likelihood estimation, error propagation based on a first-order Taylor series expansion, and the Bayesian credible i...

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Detalles Bibliográficos
Autores principales: La, Van N. T., Minh, David D. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606514/
https://www.ncbi.nlm.nih.gov/pubmed/37894754
http://dx.doi.org/10.3390/ijms242015074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606514/
https://www.ncbi.nlm.nih.gov/pubmed/37894754
http://dx.doi.org/10.3390/ijms242015074

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