The MGED Ontology: a resource for semantics-based description of microarray experiments.
Patricia L. WhetzelHelen E. ParkinsonHelen C. CaustonLiju FanJennifer FostelGilberto FragosoLaurence GameMervi HeiskanenNorman MorrisonPhilippe Rocca-SerraSusanna-Assunta SansoneChris F. TaylorJoseph WhiteChristian J. Stoeckert Jr.Published in: Bioinform. (2006)
Keyphrases
- microarray
- gene expression
- high throughput
- gene expression data
- microarray data
- experimental conditions
- gene selection
- gene expression analysis
- high dimensionality
- gene ontology
- microarray data analysis
- gene networks
- gene expression profiling
- molecular biology
- microarray analysis
- cancer classification
- gene expression data sets
- dna microarray
- tissue samples
- regulatory networks
- gene expression datasets
- clustering analysis
- yeast cell cycle
- analysis of gene expression
- microarray datasets
- gene expression profiles
- biological data
- semantic information
- gene sets
- gene expression data analysis
- data sets
- protein protein interactions
- differentially expressed genes
- random forest
- clustering algorithm