An empirical bayes adjustment to increase the sensitivity of detecting differentially expressed genes in microarray experiments.
Susmita DattaGlen A. SattenDale J. BenosJiazeng XiaMartin J. HeslinSomnath DattaPublished in: Bioinform. (2004)
Keyphrases
- differentially expressed genes
- microarray
- gene expression
- microarray data
- high throughput
- gene expression data
- differentially expressed
- microarray data analysis
- gene ontology
- gene selection
- gene expression analysis
- experimental conditions
- molecular biology
- gene expression profiling
- gene networks
- high dimensionality
- dna microarray
- decision trees
- biological processes
- microarray datasets
- cancer classification
- biological data
- reverse engineering
- high dimensional
- support vector
- similarity measure
- feature selection
- data mining