Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations

In this perspective, we examine three key aspects of an end-to-end pipeline for realistic cellular simulations: reconstruction and segmentation of cellular structures; generation of cellular structures; and mesh generation, simulation, and data analysis. We highlight some of the relevant prior work...

Descripción completa

Detalles Bibliográficos
Autores principales: Vasan, Ritvik, Rowan, Meagan P., Lee, Christopher T., Johnson, Gregory R., Rangamani, Padmini, Holst, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521042/
https://www.ncbi.nlm.nih.gov/pubmed/36188416
http://dx.doi.org/10.3389/fphy.2019.00247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521042/
https://www.ncbi.nlm.nih.gov/pubmed/36188416
http://dx.doi.org/10.3389/fphy.2019.00247

Ejemplares similares