Inference of Restricted Stochastic Boolean GRN's by Bayesian Error and Entropy Based Criteria.
David Correa Martins Jr.Evaldo Araújo de OliveiraVitor H. P. LouzadaRonaldo Fumio HashimotoPublished in: CIARP (2010)
Keyphrases
- bayesian inference
- bayesian networks
- gene regulatory networks
- error rate
- boolean networks
- genetic regulatory networks
- information theory
- inference process
- bayesian model
- evaluation criteria
- probabilistic inference
- monte carlo sampling
- monte carlo
- tree grammars
- maximum likelihood
- markov chain monte carlo
- statistical inference
- markov chain monte carlo methods
- boolean functions
- real valued
- posterior probability
- bayesian learning
- posterior distribution
- bayesian models
- sum product
- ordinary differential equations
- learning automata
- gaussian processes
- belief networks
- steady state
- parameter estimation
- graphical models
- object oriented