Cargando…
A density-based approach for detecting complexes in weighted PPI networks by semantic similarity
Protein complex detection in PPI networks plays an important role in analyzing biological processes. A new algorithm-DBGPWN-is proposed for predicting complexes in PPI networks. Firstly, a method based on gene ontology is used to measure semantic similarities between interacted proteins, and the sim...
Autores principales: | Zhou, HongFang, Liu, Jie, Li, JunHuai, Duan, WenCong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507511/ https://www.ncbi.nlm.nih.gov/pubmed/28704455 http://dx.doi.org/10.1371/journal.pone.0180570 |
Ejemplares similares
-
Detecting overlapping protein complexes in weighted PPI network based on overlay network chain in quotient space
por: Zhao, Jie, et al.
Publicado: (2019) -
Detecting overlapping protein complexes in PPI networks based on robustness
por: Wang, Shuliang, et al.
Publicado: (2013) -
Detecting complexes from edge-weighted PPI networks via genes expression analysis
por: Zhang, Zehua, et al.
Publicado: (2018) -
HPOAnnotator: improving large-scale prediction of HPO annotations by low-rank approximation with HPO semantic similarities and multiple PPI networks
por: Gao, Junning, et al.
Publicado: (2019) -
Protein complexes detection based on node local properties and gene expression in PPI weighted networks
por: Yu, Yang, et al.
Publicado: (2022)