Meta-learning approach to gene expression data classification.
Bruno Feres de SouzaCarlos SoaresAndré C. P. L. F. de CarvalhoPublished in: Int. J. Intell. Comput. Cybern. (2009)
Keyphrases
- gene expression data
- meta learning
- feature selection
- high dimensionality
- microarray
- cancer classification
- gene expression profiles
- gene expression
- gene expression analysis
- machine learning algorithms
- decision trees
- model selection
- microarray data
- classification accuracy
- dna microarray
- microarray datasets
- gene expression datasets
- inductive learning
- analysis of gene expression data
- learning tasks
- machine learning
- data sets
- tissue samples
- pattern recognition
- training set
- benchmark datasets
- high dimensional
- support vector machine
- image classification
- gene selection
- text classification
- training data
- feature extraction
- high dimensional data
- multi class
- base classifiers
- unsupervised learning
- machine learning methods
- bayesian networks
- text categorization
- support vector machine svm