Gene selection in cancer classification using sparse logistic regression with Bayesian regularization.
Gavin C. CawleyNicola L. C. TalbotPublished in: Bioinform. (2006)
Keyphrases
- cancer classification
- gene selection
- microarray data
- microarray
- cancer diagnosis
- gene expression data
- microarray gene expression data
- dna microarray
- gene expression
- colon cancer
- informative genes
- gene expression datasets
- gene expression profiles
- relevant genes
- biologically relevant
- random forest
- support vector machine svm
- microarray analysis
- feature selection
- feature ranking
- high throughput
- data sets
- microarray datasets
- high dimensionality
- machine learning methods
- support vector machine
- similarity measure
- selected genes