Cargando…
DiffSLC: A graph centrality method to detect essential proteins of a protein-protein interaction network
Identification of central genes and proteins in biomolecular networks provides credible candidates for pathway analysis, functional analysis, and essentiality prediction. The DiffSLC centrality measure predicts central and essential genes and proteins using a protein-protein interaction network. Net...
Autores principales: | Mistry, Divya, Wise, Roger P., Dickerson, Julie A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5679606/ https://www.ncbi.nlm.nih.gov/pubmed/29121073 http://dx.doi.org/10.1371/journal.pone.0187091 |
Ejemplares similares
-
Essentiality and centrality in protein interaction networks revisited
por: Khuri, Sawsan, et al.
Publicado: (2015) -
Prediction of protein–protein interaction using graph neural networks
por: Jha, Kanchan, et al.
Publicado: (2022) -
Global alignment of protein–protein interaction networks by graph matching methods
por: Zaslavskiy, Mikhail, et al.
Publicado: (2009) -
Struct2Graph: a graph attention network for structure based predictions of protein–protein interactions
por: Baranwal, Mayank, et al.
Publicado: (2022) -
TnseqDiff: identification of conditionally essential genes in transposon sequencing studies
por: Zhao, Lili, et al.
Publicado: (2017)