A Particle Gibbs Sampling Approach to Topology Inference in Gene Regulatory Networks.
Marija IloskaYousef El-LahamMónica F. BugalloPublished in: ICASSP (2020)
Keyphrases
- gibbs sampling
- gene regulatory networks
- dynamic bayesian networks
- approximate inference
- exact inference
- markov chain
- network model
- parameter estimation
- reverse engineering
- markov chain monte carlo
- topic models
- gene expression data
- latent dirichlet allocation
- em algorithm
- belief networks
- expectation maximization
- bayesian inference
- graphical models
- biological data
- structure learning
- belief propagation
- probabilistic inference
- bayesian networks
- prior knowledge
- latent variables
- structured prediction
- posterior distribution
- message passing
- gaussian process
- maximum likelihood
- model selection
- co occurrence