Detecting the Presence and Absence of Causal Relationships between Expression of Yeast Genes with Very Few Samples.
Eun Yong KangChun YeIlya ShpitserEleazar EskinPublished in: J. Comput. Biol. (2010)
Keyphrases
- causal relationships
- gene expression levels
- gene expression data
- gene expression
- gene expression datasets
- microarray
- microarray data
- regulatory networks
- high throughput
- microarray datasets
- gene ontology
- saccharomyces cerevisiae
- causal models
- data sets
- bayesian networks
- causal discovery
- microarray data analysis
- data mining
- transcriptional regulation
- binding sites
- gene selection
- protein interaction data
- influence diagrams
- fuzzy cognitive maps
- gene expression patterns
- biological data
- experimental conditions
- transcription factors
- causal structure
- gene expression profiles
- dna binding
- protein protein interaction networks
- gene sets
- gene regulatory networks
- systems biology
- cancer classification
- protein protein interactions
- biological processes
- observational data
- computational methods
- biological networks
- structural descriptions
- latent variables
- feature selection
- gene networks
- protein interaction
- genome wide