Classification of Multiple Cancer Types by Multicategory Support Vector Machines Using Gene Expression Data.
Yoonkyung LeeCheol-Koo LeePublished in: Bioinform. (2003)
Keyphrases
- gene expression data
- gene selection
- cancer classification
- support vector
- cancer diagnosis
- gene expression profiles
- dna microarray
- colon cancer
- microarray
- feature selection
- cancer datasets
- gene expression datasets
- microarray data
- tumor classification
- gene expression
- feature ranking
- classification accuracy
- support vector machine
- support vector machine svm
- gene expression data sets
- tissue samples
- dna microarray data
- high dimensionality
- microarray datasets
- gene expression analysis
- gene expression profiling
- gene expression data analysis
- simultaneous clustering
- gene expression microarray data
- informative genes
- data sets
- gene regulatory networks
- microarray gene expression data
- svm classifier
- feature extraction
- biologically significant
- analysis of gene expression data
- high throughput
- kernel function
- decision trees
- genomic data
- feature space
- binary classification
- gene networks
- machine learning
- regulatory networks
- experimental conditions
- breast cancer
- random forest
- feature vectors
- face recognition
- multiple types