Incorporating prior information into differential network analysis using non-paranormal graphical models.
Xiao-Fei ZhangLe Ou-YangHong YanPublished in: Bioinform. (2017)
Keyphrases
- prior information
- graphical models
- network analysis
- social network analysis
- belief propagation
- probabilistic model
- prior knowledge
- network structure
- probabilistic inference
- random variables
- approximate inference
- probabilistic graphical models
- complex networks
- text mining
- bayesian networks
- bayesian inference
- markov networks
- conditional random fields
- hyperparameters
- structure learning
- link prediction
- social networks
- conditional independence
- markov logic networks
- chain graphs
- graph structure
- posterior probability
- machine learning