Cargando…
Ranking Plant Network Nodes Based on Their Centrality Measures
Biological networks are often large and complex, making it difficult to accurately identify the most important nodes. Node prioritization algorithms are used to identify the most influential nodes in a biological network by considering their relationships with other nodes. These algorithms can help...
Autores principales: | Kumar, Nilesh, Mukhtar, M. Shahid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137616/ https://www.ncbi.nlm.nih.gov/pubmed/37190464 http://dx.doi.org/10.3390/e25040676 |
Ejemplares similares
-
A rice protein interaction network reveals high centrality nodes and candidate pathogen effector targets
por: Mishra, Bharat, et al.
Publicado: (2022) -
A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions
por: Kumar, Nilesh, et al.
Publicado: (2022) -
Integrated Systems Biology Pipeline to Compare Co-Expression Networks in Plants and Elucidate Differential Regulators
por: Kumar, Nilesh, et al.
Publicado: (2023) -
Beyond ranking nodes: Predicting epidemic outbreak sizes by network centralities
por: Bucur, Doina, et al.
Publicado: (2020) -
Ranking nodes in growing networks: When PageRank fails
por: Mariani, Manuel Sebastian, et al.
Publicado: (2015)