Parameter estimation for gene regulatory networks: A two-stage MCMC Bayesian approach.
Niannan XueWei PanYike GuoPublished in: EMBC (2016)
Keyphrases
- parameter estimation
- metropolis hastings algorithm
- gene regulatory networks
- markov chain monte carlo
- structure learning
- posterior distribution
- approximate inference
- maximum likelihood
- dynamic bayesian networks
- least squares
- reverse engineering
- markov random field
- model selection
- statistical models
- em algorithm
- bayesian inference
- gene expression data
- expectation maximization
- parameter estimation algorithm
- network model
- maximum likelihood estimation
- biological data
- computer vision
- image segmentation
- machine learning
- data analysis
- pairwise
- high dimensional
- software engineering
- markov chain
- particle filtering
- data sets