Spatial cumulant models enable spatially informed treatment strategies and analysis of local interactions in cancer systems

Theoretical and applied cancer studies that use individual-based models (IBMs) have been limited by the lack of a mathematical formulation that enables rigorous analysis of these models. However, spatial cumulant models (SCMs), which have arisen from theoretical ecology, describe population dynamics...

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Detalles Bibliográficos
Autores principales: Hamis, Sara, Somervuo, Panu, Ågren, J. Arvid, Tadele, Dagim Shiferaw, Kesseli, Juha, Scott, Jacob G., Nykter, Matti, Gerlee, Philip, Finkelshtein, Dmitri, Ovaskainen, Otso
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076412/
https://www.ncbi.nlm.nih.gov/pubmed/37017776
http://dx.doi.org/10.1007/s00285-023-01903-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076412/
https://www.ncbi.nlm.nih.gov/pubmed/37017776
http://dx.doi.org/10.1007/s00285-023-01903-x

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