Feature-Based Causal Structure Discovery in Protein and Gene Expression Data with Bayesian Network.
Jingwei LiuMinghua DengMinping QianPublished in: ICNC (2) (2009)
Keyphrases
- gene expression data
- causal discovery
- causal structure
- bayesian networks
- causal relationships
- protein interaction data
- gene expression
- observational data
- regulatory networks
- microarray
- analysis of gene expression data
- causal models
- discovery process
- microarray data
- conditional independence
- gene regulatory networks
- gene selection
- gene expression analysis
- cancer classification
- protein structure
- gene ontology terms
- directed acyclic graph
- data sets
- protein interaction
- probability distribution
- protein protein interactions
- probabilistic inference
- feature selection
- graphical models
- high dimensional data
- gene networks
- gene expression profiles
- high throughput
- high dimensionality
- protein sequences
- structure learning
- probabilistic model
- experimental data
- high dimensional
- causal relations
- sample size
- molecular biology
- latent variables
- conditional probabilities
- real world