Frequent Subgraph Mining of Personalized Signaling Pathway Networks Groups Patients with Frequently Dysregulated Disease Pathways and Predicts Prognosis.
Arda DurmazTim A. D. HendersonDouglas BrubakerGürkan BebekPublished in: PSB (2017)
Keyphrases
- signaling pathways
- frequent subgraph mining
- systems biology
- breast cancer patients
- protein protein interactions
- regulatory networks
- biological processes
- graph clustering
- protein interaction networks
- protein protein interaction networks
- biological networks
- gene ontology
- graph mining
- network analysis
- functional modules
- machine learning
- high throughput
- high dimensional
- recommender systems
- frequent subgraphs
- text mining
- computational methods
- community detection
- pattern mining