Model certainty in cellular network-driven processes with missing data

Mathematical models are often used to explore network-driven cellular processes from a systems perspective. However, a dearth of quantitative data suitable for model calibration leads to models with parameter unidentifiability and questionable predictive power. Here we introduce a combined Bayesian...

Descripción completa

Detalles Bibliográficos
Autores principales: Irvin, Michael W., Ramanathan, Arvind, Lopez, Carlos F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166548/
https://www.ncbi.nlm.nih.gov/pubmed/37099625
http://dx.doi.org/10.1371/journal.pcbi.1011004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166548/
https://www.ncbi.nlm.nih.gov/pubmed/37099625
http://dx.doi.org/10.1371/journal.pcbi.1011004

Ejemplares similares