Cargando…
Personalized logical models to investigate cancer response to BRAF treatments in melanomas and colorectal cancers
The study of response to cancer treatments has benefited greatly from the contribution of different omics data but their interpretation is sometimes difficult. Some mathematical models based on prior biological knowledge of signaling pathways facilitate this interpretation but often require fitting...
Autores principales: | Béal, Jonas, Pantolini, Lorenzo, Noël, Vincent, Barillot, Emmanuel, Calzone, Laurence |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7872233/ https://www.ncbi.nlm.nih.gov/pubmed/33507915 http://dx.doi.org/10.1371/journal.pcbi.1007900 |
Ejemplares similares
-
Personalization of Logical Models With Multi-Omics Data Allows Clinical Stratification of Patients
por: Béal, Jonas, et al.
Publicado: (2019) -
Exact solving and sensitivity analysis of stochastic continuous time Boolean models
por: Koltai, Mihály, et al.
Publicado: (2020) -
Modeling signaling pathways in biology with MaBoSS: From one single cell to a dynamic population of heterogeneous interacting cells
por: Calzone, Laurence, et al.
Publicado: (2022) -
Multiscale model of the different modes of cancer cell invasion
por: Ruscone, Marco, et al.
Publicado: (2023) -
WebMaBoSS: A Web Interface for Simulating Boolean Models Stochastically
por: Noël, Vincent, et al.
Publicado: (2021)