piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks.
Dimitris V. ManatakisVineet K. RaghuPanayiotis V. BenosPublished in: Bioinform. (2018)
Keyphrases
- graphical models
- multi source
- belief propagation
- structural learning
- random variables
- information fusion
- prior knowledge
- probabilistic model
- probabilistic graphical models
- conditional random fields
- probabilistic inference
- social network analysis
- social networks
- intelligent systems
- computational intelligence
- network analysis
- community detection
- conditional independence
- structure learning
- databases
- decision makers
- markov logic networks
- undirected graphical models
- database