Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data.
Eric V. StroblShyam VisweswaranPublished in: CoRR (2014)
Keyphrases
- gene expression data
- causal discovery
- conditional dependence
- causal models
- random variables
- gene expression
- causal relationships
- microarray
- bayesian networks
- discovery process
- directed acyclic graph
- graphical representation
- conditional independence
- data sets
- microarray data
- high dimensionality
- gene expression analysis
- feature selection
- gene regulatory networks
- gene expression datasets
- gene expression data analysis
- microarray gene expression data
- gene expression profiles
- cancer classification
- gene expression profiling
- gene selection
- high dimensional data
- probability distribution
- high dimensional
- analysis of gene expression data
- graphical models
- dna microarray
- structure learning
- high throughput
- knowledge discovery
- pattern recognition
- information retrieval
- real world
- databases