Active Learning with Support Vector Machine Applied to Gene Expression Data for Cancer Classification.
Ying LiuPublished in: J. Chem. Inf. Model. (2004)
Keyphrases
- gene expression data
- cancer classification
- gene selection
- microarray
- gene expression profiling
- microarray data
- active learning
- gene expression
- support vector machine
- cancer diagnosis
- microarray gene expression data
- gene expression profiles
- feature selection
- colon cancer
- gene expression datasets
- random forest
- data sets
- high dimensionality
- dna microarray
- high dimensional
- gene regulatory networks
- high throughput
- machine learning
- cancer datasets
- gene expression analysis
- informative genes
- experimental conditions
- gene expression patterns
- gene ontology
- semi supervised
- high dimensional data
- microarray datasets
- support vector
- training data
- cluster analysis