Improved Gene Selection for Classification of Microarrays.
Jochen JaegerRimli SenguptaWalter L. RuzzoPublished in: Pacific Symposium on Biocomputing (2003)
Keyphrases
- gene selection
- cancer classification
- microarray
- microarray data
- microarray data analysis
- microarray datasets
- cancer diagnosis
- dna microarray
- dna microarray data
- relevant genes
- gene expression profiles
- tumor classification
- ovarian cancer
- gene expression
- colon cancer
- gene expression data
- feature selection
- support vector machine svm
- microarray analysis
- informative genes
- feature ranking
- selected genes
- gene expression datasets
- microarray classification
- high dimensionality
- support vector machine
- survival prediction
- gene expression analysis
- small number of samples
- machine learning
- machine learning methods
- classification accuracy
- high dimensional
- support vector
- cluster analysis
- training set
- pattern recognition
- feature extraction
- decision trees
- data sets
- wilcoxon rank sum
- unsupervised learning
- text classification
- learning algorithm