Selecting Informative Genes from Microarray Data for Cancer Classification with Genetic Programming Classifier Using K-Means Clustering and SNR Ranking.
Supoj HengpraprohmPrabhas ChongstitvatanaPublished in: FBIT (2007)
Keyphrases
- informative genes
- microarray data
- cancer classification
- gene selection
- feature ranking
- feature selection
- microarray gene expression data
- microarray
- gene expression data
- random forest
- cancer diagnosis
- gene expression
- microarray datasets
- gene expression profiles
- data sets
- feature space
- training data
- feature set
- biological data
- high dimensional
- decision trees
- gene expression patterns
- support vector
- fold cross validation
- dna microarray
- support vector machine
- learning algorithm
- gene sets
- cluster analysis
- classification models
- high throughput
- class labels
- pattern recognition
- selected genes
- self organizing maps
- input data
- classification accuracy