Frailness and resilience of gene networks predicted by detection of co-occurring mutations via a stochastic perturbative approach

In recent years complex networks have been identified as powerful mathematical frameworks for the adequate modeling of many applied problems in disparate research fields. Assuming a Master Equation (ME) modeling the exchange of information within the network, we set up a perturbative approach in ord...

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Detalles Bibliográficos
Autores principales: Bersanelli, Matteo, Mosca, Ettore, Milanesi, Luciano, Bazzani, Armando, Castellani, Gastone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7021762/
https://www.ncbi.nlm.nih.gov/pubmed/32060296
http://dx.doi.org/10.1038/s41598-020-59036-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7021762/
https://www.ncbi.nlm.nih.gov/pubmed/32060296
http://dx.doi.org/10.1038/s41598-020-59036-w

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