A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets.
Carmen LaiMarcel J. T. ReindersLaura J. van't VeerLodewyk F. A. WesselsPublished in: BMC Bioinform. (2006)
Keyphrases
- cancer classification
- cancer datasets
- gene selection
- microarray
- gene expression data
- microarray data
- cancer diagnosis
- random forest
- gene expression profiles
- gene expression
- dna microarray
- microarray datasets
- feature selection
- feature ranking
- support vector machine svm
- ovarian cancer
- machine learning
- breast cancer
- high dimensionality
- high throughput
- machine learning methods
- benchmark datasets
- high dimensional
- pattern recognition
- support vector
- decision trees
- data mining