A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks.
Ioan Gabriel BucurTom van BusselTom ClaassenTom HeskesPublished in: PGM (2018)
Keyphrases
- gene regulatory networks
- causal structure
- causal discovery
- causal relationships
- reverse engineering
- experimental data
- causal models
- gene expression data
- network model
- biological data
- causal relations
- causal graph
- dynamic bayesian networks
- bayesian inference
- structure learning
- observational data
- neural network
- directed acyclic graph
- microarray data
- microarray
- high dimensionality
- random walk
- dynamic programming
- learning algorithm
- machine learning