Bayesian Graphical Models for Computational Network Biology.
Yang NiPeter MüllerLin WeiYuan JiPublished in: BCB (2017)
Keyphrases
- graphical models
- bayesian networks
- belief propagation
- statistical inference
- probabilistic model
- probabilistic graphical models
- random variables
- approximate inference
- probabilistic inference
- markov networks
- conditional random fields
- structure learning
- conditional independence
- belief networks
- collective classification
- exact inference
- network structure
- factor graphs
- map inference
- bayesian inference
- maximum likelihood
- loopy belief propagation
- possibilistic networks
- image segmentation
- message passing
- undirected graphical models