Inference of regulatory networks with MCMC sampler guided by mutual information.
Nilzair M. BarretoKarina S. MachadoAdriano Velasque WerhliPublished in: SAC (2017)
Keyphrases
- markov chain monte carlo
- mutual information
- regulatory networks
- bayesian inference
- posterior distribution
- markov chain
- gibbs sampler
- gene regulatory networks
- parameter estimation
- generative model
- posterior probability
- monte carlo
- gene expression
- microarray
- metropolis hastings
- approximate inference
- particle filter
- gene expression data
- similarity measure
- feature selection
- particle filtering
- computational biology
- microarray data
- bayesian networks
- latent variables
- systems biology
- probabilistic inference
- probability distribution
- biological data
- graphical models
- biological systems
- data sets
- transcription factors
- maximum likelihood
- protein protein interactions
- conditional random fields
- high throughput
- bayesian framework