Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering.
Konstantinos A. TheofilatosNiki PavlopoulouChristoforos PapasavvasSpiros LikothanassisChristos M. DimitrakopoulosEfstratios F. GeorgopoulosCharalampos N. MoschopoulosSeferina MavroudiPublished in: Artif. Intell. Medicine (2015)
Keyphrases
- predicting protein
- protein protein interactions
- protein complexes
- protein interaction networks
- secondary structure
- protein interaction
- ppi networks
- graph theoretic
- protein function
- computational methods
- protein protein interaction networks
- clustering method
- functional modules
- protein protein
- clustering algorithm
- k means
- weighted graph
- systems biology
- high precision
- high throughput
- genomic data
- network topology
- gene ontology
- computational approaches
- biological processes
- databases
- amino acid sequences
- amino acids
- document clustering
- structural properties
- biological data
- information theoretic
- biomedical literature
- sensor networks
- knowledge discovery
- biological networks
- spanning tree