Cargando…
Inferring stochastic rates from heterogeneous snapshots of particle positions
Many imaging techniques for biological systems – like fixation of cells coupled with fluorescence microscopy – provide sharp spatial resolution in reporting locations of individuals at a single moment in time but also destroy the dynamics they intend to capture. These snapshot observations contain n...
Autores principales: | Miles, Christopher E., McKinley, Scott A., Ding, Fangyuan, Lehoucq, Richard B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cornell University
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659442/ https://www.ncbi.nlm.nih.gov/pubmed/37986720 |
Ejemplares similares
-
Inferring Centrality from Network Snapshots
por: Shao, Haibin, et al.
Publicado: (2017) -
On the effect of heterogeneity in stochastic interacting-particle systems
por: Lafuerza, Luis F., et al.
Publicado: (2013) -
Sensory Information and Encounter Rates of Interacting Species
por: Hein, Andrew M., et al.
Publicado: (2013) -
Inferring rates of metastatic dissemination using stochastic network models
por: Gerlee, Philip, et al.
Publicado: (2019) -
Fundamental limits on dynamic inference from single-cell snapshots
por: Weinreb, Caleb, et al.
Publicado: (2018)