Cargando…
Differential methods for assessing sensitivity in biological models
Differential sensitivity analysis is indispensable in fitting parameters, understanding uncertainty, and forecasting the results of both thought and lab experiments. Although there are many methods currently available for performing differential sensitivity analysis of biological models, it can be d...
Autores principales: | Mester, Rachel, Landeros, Alfonso, Rackauckas, Chris, Lange, Kenneth |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232177/ https://www.ncbi.nlm.nih.gov/pubmed/35696417 http://dx.doi.org/10.1371/journal.pcbi.1009598 |
Ejemplares similares
-
Extensions to the Proximal Distance Method of Constrained Optimization
por: Landeros, Alfonso, et al.
Publicado: (2022) -
Modeling of Cancer Stem Cell State Transitions Predicts Therapeutic Response
por: Sehl, Mary E., et al.
Publicado: (2015) -
A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread
por: Dandekar, Raj, et al.
Publicado: (2020) -
Stochastic simulation algorithms for Interacting Particle Systems
por: Stutz, Timothy C., et al.
Publicado: (2021) -
Implications of Delayed Reopening in Controlling the COVID-19 Surge in Southern and West-Central USA
por: Dandekar, Raj, et al.
Publicado: (2021)