Structure learning for gene regulatory networks.
Anthony FedericoJoseph KernXaralabos VarelasStefano MontiPublished in: PLoS Comput. Biol. (2023)
Keyphrases
- gene regulatory networks
- structure learning
- graphical models
- bayesian networks
- conditional independence
- dynamic bayesian networks
- transfer learning
- parameter estimation
- sample size
- network structure
- markov networks
- artificial intelligence
- maximum likelihood
- data sets
- text classification
- probabilistic inference
- approximate inference
- probabilistic model
- high dimensional
- neural network