Literature mining of protein-residue associations with graph rules learned through distant supervision.
K. E. RavikumarHaibin LiuJudith D. CohnMichael E. WallKarin VerspoorPublished in: J. Biomed. Semant. (2012)
Keyphrases
- association rules
- rule mining
- association rule mining
- amino acids
- interesting association rules
- protein structure prediction
- mining algorithm
- contact map
- mining association rules
- positive and negative association rules
- indirect association
- graph theory
- weighted association rules
- apriori algorithm
- peculiarity oriented mining
- rule generation
- interestingness measures
- itemsets
- knowledge discovery
- data mining
- fuzzy association rules
- data mining techniques
- subgraph mining
- random walk
- web mining
- contact maps
- protein functional
- generalized association rules
- protein chains
- graph data
- protein structure
- graph structure
- structured data
- graph patterns
- protein sequences
- classification rules
- chemical compounds
- quasi cliques
- subgraph isomorphism
- frequent itemsets
- protein function prediction
- directed acyclic graph
- sequential patterns
- sequential pattern mining
- frequent subgraphs
- protein interaction networks
- active learning
- frequent patterns
- graph mining
- background knowledge
- drug discovery
- learned rules
- protein function
- functional modules
- data mining tools
- sequence databases