Adjusting protein graphs based on graph entropy.
Sheng-Lung PengYu-Wei TsayPublished in: BMC Bioinform. (2014)
Keyphrases
- graph representation
- protein interaction networks
- graph theory
- graph structure
- weighted graph
- graph matching
- graph construction
- directed graph
- labeled graphs
- graph databases
- graph theoretic
- chemical compounds
- graph partitioning
- graph structures
- graph mining
- adjacency matrix
- graph search
- graph properties
- undirected graph
- graph data
- graph theoretical
- random graphs
- graph clustering
- graph classification
- graph model
- series parallel
- graph transformation
- spanning tree
- structural pattern recognition
- bipartite graph
- minimum spanning tree
- protein structure
- inexact graph matching
- dense subgraphs
- dynamic graph
- graph isomorphism
- graph representations
- functional modules
- graph kernels
- protein sequences
- subgraph isomorphism
- evolving graphs
- reachability queries
- finding the shortest path
- neighborhood graph
- connected dominating set
- maximum cardinality
- planar graphs
- adjacency graph
- graph embedding
- maximum common subgraph
- web graph
- real world graphs
- query graph
- attributed graphs
- directed acyclic
- edge weights
- bounded treewidth
- protein protein interaction networks
- community discovery
- connected graphs
- frequent subgraphs
- topological information
- drug discovery
- protein protein interactions
- connected components
- graph drawing
- polynomial time complexity
- maximal cliques
- random walk
- complex networks
- information theoretic
- social network analysis
- shortest path