A double swarm methodology for parameter estimation in oscillating Gene Regulatory Networks.
Marco S. NobileHitoshi IbaPublished in: CEC (2015)
Keyphrases
- parameter estimation
- gene regulatory networks
- structure learning
- metropolis hastings algorithm
- maximum likelihood
- least squares
- reverse engineering
- network model
- gene expression data
- markov random field
- em algorithm
- model selection
- statistical models
- parameter estimation algorithm
- approximate inference
- bayesian inference
- biological data
- dynamic bayesian networks
- expectation maximization
- maximum likelihood estimation
- logic programs
- probabilistic model