Boosting Local Causal Discovery in High-Dimensional Expression Data.
Philip VersteegJoris M. MooijPublished in: BIBM (2019)
Keyphrases
- causal discovery
- high dimensional
- causal models
- causal relationships
- bayesian networks
- discovery process
- causal structure
- directed acyclic graph
- low dimensional
- high dimensionality
- high dimensional data
- variable selection
- feature selection
- conditional independence
- markov blanket
- learning algorithm
- parameter space
- feature space
- random walk
- machine learning
- data sets
- causal ordering
- noisy data
- decision trees