Detecting the Presence and Absence of Causal Relationships between Expression of Yeast Genes with Very Few Samples.
Eun Yong KangIlya ShpitserChun YeEleazar EskinPublished in: RECOMB (2009)
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
- causal discovery
- data sets
- bayesian networks
- microarray data analysis
- saccharomyces cerevisiae
- causal models
- gene expression profiles
- data mining
- causal structure
- gene sets
- gene selection
- binding sites
- latent variables
- experimental conditions
- gene regulatory networks
- cancer classification
- cell cycle
- protein interaction
- protein interaction data
- protein protein interaction networks
- biological processes
- influence diagrams
- high dimensionality
- dna binding
- transcriptional regulation
- signaling pathways
- gene networks
- biological networks
- gene expression patterns
- training data