An unsupervised disease module identification technique in biological networks using novel quality metric based on connectivity, conductance and modularity.
Raghvendra MallEhsan UllahKhalid KunjiMichele CeccarelliHalima BensmailPublished in: F1000Research (2018)
Keyphrases
- biological networks
- quality metrics
- community detection
- protein protein interaction networks
- complex networks
- biological data
- biological systems
- gene expression
- image quality
- graph mining
- network analysis
- quality assessment
- pattern mining
- link prediction
- connected components
- microarray
- human visual system
- visual quality
- semi supervised
- protein protein interactions
- machine learning
- high precision
- computational methods
- collaborative filtering
- data model
- association rules
- social networks
- information retrieval