Bayesian graphical models for computational network biology.
Yang NiPeter MüllerLin WeiYuan JiPublished in: BMC Bioinform. (2018)
Keyphrases
- graphical models
- bayesian networks
- belief propagation
- probabilistic model
- random variables
- approximate inference
- statistical inference
- markov networks
- probabilistic graphical models
- conditional random fields
- map inference
- structure learning
- collective classification
- conditional independence
- probabilistic inference
- exact inference
- belief networks
- factor graphs
- complex networks
- marginal probabilities
- posterior probability
- network structure
- maximum likelihood
- chain graphs
- loopy belief propagation
- exponential family
- message passing
- optimal solution