Regularization Strategies for Hyperplane Classifiers: Application to Cancer Classification with gene Expression Data.
Erik AndriesThomas M. HagstromSusan R. AtlasCheryl WillmanPublished in: J. Bioinform. Comput. Biol. (2007)
Keyphrases
- gene expression data
- cancer classification
- hyperplane
- microarray
- gene selection
- gene expression profiling
- microarray data
- gene expression
- feature selection
- microarray gene expression data
- cancer diagnosis
- gene expression datasets
- gene expression profiles
- cancer datasets
- support vector
- data sets
- random forest
- gene expression analysis
- training samples
- colon cancer
- gene regulatory networks
- gene sets
- microarray datasets
- feature space
- decision trees
- informative genes
- high throughput
- high dimensionality
- multi class
- data points
- feature ranking
- neural network
- training data
- tissue samples
- support vector machine