GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data.
Kévin Rue-AlbrechtPaul A. McGettiganBelinda HernándezNicolas C. NalpasDavid A. MageeAndrew C. ParnellStephen V. GordonDavid E. MacHughPublished in: BMC Bioinform. (2016)
Keyphrases
- microarray
- gene ontology
- gene expression data
- gene expression
- gene expression patterns
- supervised learning
- gene networks
- microarray data
- high throughput
- genomic data
- biological information
- protein interaction data
- gene expression levels
- molecular biology
- gene regulatory networks
- gene selection
- experimental conditions
- regulatory networks
- gene expression datasets
- gene expression analysis
- gene clusters
- gene expression profiles
- dna microarray
- microarray datasets
- high dimensionality
- biological processes
- data sets
- semantic similarity
- biological networks
- cancer classification
- biological data
- information theoretic
- gene function
- protein protein interactions
- genome wide
- training set