Cargando…
Semantic integration to identify overlapping functional modules in protein interaction networks
BACKGROUND: The systematic analysis of protein-protein interactions can enable a better understanding of cellular organization, processes and functions. Functional modules can be identified from the protein interaction networks derived from experimental data sets. However, these analyses are challen...
Autores principales: | Cho, Young-Rae, Hwang, Woochang, Ramanathan, Murali, Zhang, Aidong |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1971074/ https://www.ncbi.nlm.nih.gov/pubmed/17650343 http://dx.doi.org/10.1186/1471-2105-8-265 |
Ejemplares similares
-
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
por: Cho, Young-Rae, et al.
Publicado: (2008) -
A novel functional module detection algorithm for protein-protein interaction networks
por: Hwang, Woochang, et al.
Publicado: (2006) -
CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions
por: Hwang, Woochang, et al.
Publicado: (2008) -
Exploiting locational and topological overlap model to identify modules in protein interaction networks
por: Cheng, Lixin, et al.
Publicado: (2019) -
Information-theoretic gene-gene and gene-environment interaction analysis of quantitative traits
por: Chanda, Pritam, et al.
Publicado: (2009)