Cargando…
Identifying functional modules in interaction networks through overlapping Markov clustering
Motivation: In recent years, Markov clustering (MCL) has emerged as an effective algorithm for clustering biological networks—for instance clustering protein–protein interaction (PPI) networks to identify functional modules. However, a limitation of MCL and its variants (e.g. regularized MCL) is tha...
Autores principales: | Shih, Yu-Keng, Parthasarathy, Srinivasan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436797/ https://www.ncbi.nlm.nih.gov/pubmed/22962469 http://dx.doi.org/10.1093/bioinformatics/bts370 |
Ejemplares similares
-
Semantic integration to identify overlapping functional modules in protein interaction networks
por: Cho, Young-Rae, et al.
Publicado: (2007) -
Joint clustering of protein interaction networks through Markov random walk
por: Wang, Yijie, et al.
Publicado: (2014) -
A single source k-shortest paths algorithm to infer regulatory pathways in a gene network
por: Shih, Yu-Keng, et al.
Publicado: (2012) -
Scalable global alignment for multiple biological networks
por: Shih, Yu-Keng, et al.
Publicado: (2012) -
Multifunctional proteins revealed by overlapping clustering in protein interaction network
por: Becker, Emmanuelle, et al.
Publicado: (2012)