Data-driven learning how oncogenic gene expression locally alters heterocellular networks

Developing drugs increasingly relies on mechanistic modeling and simulation. Models that capture causal relations among genetic drivers of oncogenesis, functional plasticity, and host immunity complement wet experiments. Unfortunately, formulating such mechanistic cell-level models currently relies...

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Detalles Bibliográficos
Autores principales: Klinke, David J., Fernandez, Audry, Deng, Wentao, Razazan, Atefeh, Latifizadeh, Habibolla, Pirkey, Anika C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007999/
https://www.ncbi.nlm.nih.gov/pubmed/35418177
http://dx.doi.org/10.1038/s41467-022-29636-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007999/
https://www.ncbi.nlm.nih.gov/pubmed/35418177
http://dx.doi.org/10.1038/s41467-022-29636-3

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