Cargando…
An extensive assessment of network alignment algorithms for comparison of brain connectomes
BACKGROUND: Recently the study of the complex system of connections in neural systems, i.e. the connectome, has gained a central role in neurosciences. The modeling and analysis of connectomes are therefore a growing area. Here we focus on the representation of connectomes by using graph theory form...
Autores principales: | Milano, Marianna, Guzzi, Pietro Hiram, Tymofieva, Olga, Xu, Duan, Hess, Christofer, Veltri, Pierangelo, Cannataro, Mario |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471963/ https://www.ncbi.nlm.nih.gov/pubmed/28617222 http://dx.doi.org/10.1186/s12859-017-1635-7 |
Ejemplares similares
-
Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks
por: Milano, Marianna, et al.
Publicado: (2022) -
L-HetNetAligner: A novel algorithm for Local Alignment of Heterogeneous Biological Networks
por: Milano, Marianna, et al.
Publicado: (2020) -
Aligning Cross-Species Interactomes for Studying Complex and Chronic Diseases
por: Milano, Marianna, et al.
Publicado: (2023) -
An Extensive Assessment of Network Embedding in PPI Network Alignment
por: Milano, Marianna, et al.
Publicado: (2022) -
Multilayer network alignment based on topological assessment via embeddings
por: Cinaglia, Pietro, et al.
Publicado: (2023)