Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-Class Classification with a Convolutional Neural Network

Robustness and evolvability are essential properties to the evolution of biological networks. To determine if a biological network is robust and/or evolvable, it is required to compare its functions before and after mutations. However, this sometimes takes a high computational cost as the network si...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Hyobin, Muñoz, Stalin, Osuna, Pamela, Gershenson, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597304/
https://www.ncbi.nlm.nih.gov/pubmed/33286756
http://dx.doi.org/10.3390/e22090986

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597304/
https://www.ncbi.nlm.nih.gov/pubmed/33286756
http://dx.doi.org/10.3390/e22090986

Ejemplares similares