Cargando…
A density-based clustering approach for identifying overlapping protein complexes with functional preferences
BACKGROUND: Identifying protein complexes is an essential task for understanding the mechanisms of proteins in cells. Many computational approaches have thus been developed to identify protein complexes in protein-protein interaction (PPI) networks. Regarding the information that can be adopted by c...
Autores principales: | Hu, Lun, Chan, Keith CC |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445992/ https://www.ncbi.nlm.nih.gov/pubmed/26013799 http://dx.doi.org/10.1186/s12859-015-0583-3 |
Ejemplares similares
-
Interactions by 2D Gel Electrophoresis Overlap (iGEO): a novel high fidelity approach to identify constituents of protein complexes
por: Yoshigi, Masaaki, et al.
Publicado: (2013) -
Semantic integration to identify overlapping functional modules in protein interaction networks
por: Cho, Young-Rae, et al.
Publicado: (2007) -
Genome classification by gene distribution: An overlapping subspace clustering approach
por: Li, Jason, et al.
Publicado: (2008) -
Exploiting locational and topological overlap model to identify modules in protein interaction networks
por: Cheng, Lixin, et al.
Publicado: (2019) -
Predicting overlapping protein complexes based on core-attachment and a local modularity structure
por: Wang, Rongquan, et al.
Publicado: (2018)