A mesoscopic simulator to uncover heterogeneity and evolutionary dynamics in tumors

Increasingly complex in silico modeling approaches offer a way to simultaneously access cancerous processes at different spatio-temporal scales. High-level models, such as those based on partial differential equations, are computationally affordable and allow large tumor sizes and long temporal wind...

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Опубликовано в: :PLoS Comput Biol
Главные авторы: Jiménez-Sánchez, Juan, Martínez-Rubio, Álvaro, Popov, Anton, Pérez-Beteta, Julián, Azimzade, Youness, Molina-García, David, Belmonte-Beitia, Juan, Calvo, Gabriel F., Pérez-García, Víctor M.
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2021
Предметы:
Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7901744/
https://ncbi.nlm.nih.gov/pubmed/33566821
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1008266
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