Gene selection for classification of microarray data based on the Bayes error.
Ji-Gang ZhangHong-Wen DengPublished in: BMC Bioinform. (2007)
Keyphrases
- microarray data
- gene selection
- cancer classification
- microarray
- relevant genes
- microarray data analysis
- dna microarray data
- microarray datasets
- cancer diagnosis
- informative genes
- feature selection
- gene expression profiles
- ovarian cancer
- dna microarray
- gene expression
- colon cancer
- gene expression data
- support vector machine svm
- microarray analysis
- small number of samples
- microarray classification
- feature ranking
- data sets
- biologically relevant
- selected genes
- high dimensional
- high throughput
- cluster analysis
- gene expression analysis
- gene expression datasets
- pattern recognition
- gene expression data sets
- high dimensionality
- classification accuracy
- differentially expressed genes
- support vector machine
- gene sets
- machine learning
- decision trees
- feature vectors
- biologically meaningful
- machine learning methods
- gene ontology
- k nearest neighbor
- unsupervised learning
- machine learning algorithms