Algorithmic Biases in Causal Structure Learning for Gene Regulatory Networks.
Dániel SándorLili NemesPéter AntalPublished in: HCAIep (2023)
Keyphrases
- gene regulatory networks
- structure learning
- bayesian networks
- graphical models
- conditional independence
- dynamic bayesian networks
- causal models
- transfer learning
- random variables
- parameter estimation
- sample size
- directed acyclic graph
- probabilistic inference
- probability distribution
- belief propagation
- markov networks
- machine learning
- network structure
- probabilistic model
- conditional probabilities
- posterior probability
- bayesian inference
- network model
- maximum likelihood estimation
- maximum likelihood
- k means
- training data