Protocol for stratification of triple-negative breast cancer patients using in silico signaling dynamics

Personalized kinetic models can predict potential biomarkers and drug targets. Here, we provide a step-by-step approach for building an executable mathematical model from text and integrating transcriptomic datasets. We additionally describe the steps to personalize the mechanistic model and to stra...

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Detalles Bibliográficos
Autores principales: Imoto, Hiroaki, Yamashiro, Sawa, Murakami, Ken, Okada, Mariko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389415/
https://www.ncbi.nlm.nih.gov/pubmed/35990741
http://dx.doi.org/10.1016/j.xpro.2022.101619

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389415/
https://www.ncbi.nlm.nih.gov/pubmed/35990741
http://dx.doi.org/10.1016/j.xpro.2022.101619

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