Unsupervised Decision Trees Structured by Gene Ontology (GO-UDTs) for the Interpretation of Microarray Data.
Henning RedestigFlorian SohlerRalf ZimmerJoachim SelbigPublished in: GfKl (2006)
Keyphrases
- gene ontology
- microarray data
- microarray
- decision trees
- gene sets
- gene clusters
- gene expression
- high throughput
- gene expression data
- biologically relevant
- gene networks
- gene expression patterns
- gene selection
- microarray data analysis
- molecular biology
- high dimensionality
- cancer classification
- biological information
- machine learning
- unsupervised learning
- protein function
- gene expression levels
- gene expression profiles
- microarray datasets
- information theoretic
- semi supervised
- genomic data
- experimental conditions
- dna microarray
- gene expression analysis
- gene function
- protein protein interactions
- biological data
- microarray technology
- data sets
- biological processes
- protein interaction
- semantic similarity
- high dimensional