Improving the power to detect differentially expressed genes in comparative microarray experiments by including information from self-self hybridizations.
Arief GusnantoBrian D. M. TomPhilippa BurnsIain C. MacaulayDaphne C. Thijssen-TimmerMarloes R. TijssenCordelia LangfordNicholas WatkinsWillem H. OuwehandCarlo BerzuiniFrank DudbridgePublished in: Comput. Biol. Chem. (2007)
Keyphrases
- microarray
- differentially expressed genes
- gene expression
- microarray data
- high throughput
- microarray data analysis
- gene expression profiling
- high dimensionality
- gene expression data
- text mining
- molecular biology
- biological processes
- gene networks
- cancer diagnosis
- support vector machine
- gene expression data sets
- machine learning
- data sets