graph-GPA: A graphical model for prioritizing GWAS results and investigating pleiotropic architecture.
Dongjun ChungHang J. KimHongyu ZhaoPublished in: PLoS Comput. Biol. (2017)
Keyphrases
- graphical models
- graph structure
- gaussian graphical models
- directed acyclic
- belief propagation
- random variables
- probabilistic inference
- graphical structure
- approximate inference
- probabilistic model
- probabilistic graphical models
- structural learning
- bayesian networks
- markov networks
- conditional random fields
- structure learning
- chain graphs
- map inference
- undirected graphical models
- directed acyclic graph
- belief networks
- conditional independence
- conditional dependencies
- message passing
- pairwise
- markov random field
- genome wide
- factor graphs
- exact inference
- spanning tree
- distributed systems
- em algorithm
- high throughput