Inferring dynamic topology for decoding spatiotemporal structures in complex heterogeneous networks

Extracting complex interactions (i.e., dynamic topologies) has been an essential, but difficult, step toward understanding large, complex, and diverse systems including biological, financial, and electrical networks. However, reliable and efficient methods for the recovery or estimation of network t...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Shuo, Herzog, Erik D., Kiss, István Z., Schwartz, William J., Bloch, Guy, Sebek, Michael, Granados-Fuentes, Daniel, Wang, Liang, Li, Jr-Shin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140519/
https://www.ncbi.nlm.nih.gov/pubmed/30150403
http://dx.doi.org/10.1073/pnas.1721286115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140519/
https://www.ncbi.nlm.nih.gov/pubmed/30150403
http://dx.doi.org/10.1073/pnas.1721286115

Ejemplares similares