Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments.
Luka KovacevicIzzy NewshamSach MukherjeeJohn WhittakerPublished in: CoRR (2024)
Keyphrases
- structure learning
- bayesian networks
- gene regulatory networks
- markov blanket
- graphical models
- conditional independence
- bayesian network structure learning
- causal models
- markov logic networks
- causal relationships
- bayesian network classifiers
- parameter learning
- causal discovery
- gene expression
- microarray
- conditional independence tests
- dynamic bayesian networks
- parameter estimation
- probabilistic model
- gene function
- transfer learning
- posterior probability
- gene expression data
- sample size
- random variables
- probabilistic reasoning
- image segmentation
- conditional probabilities
- probability distribution