Gene discretization based on EM clustering and adaptive sequential forward gene selection for molecular classification.
Hung-Yi LinPublished in: Appl. Soft Comput. (2016)
Keyphrases
- gene selection
- gene expression profiles
- cancer classification
- microarray data analysis
- microarray
- relevant genes
- microarray data
- dna microarray data
- dna microarray
- gene expression data
- microarray datasets
- feature selection
- cancer diagnosis
- gene expression
- microarray analysis
- support vector machine svm
- informative genes
- high dimensionality
- gene expression analysis
- colon cancer
- unsupervised learning
- clustering analysis
- ovarian cancer
- high throughput
- cluster analysis
- feature ranking
- k means
- sequential forward
- classification accuracy
- machine learning
- machine learning methods
- clustering algorithm
- supervised learning
- feature subset
- random forest
- model selection
- feature subset selection
- feature extraction
- gene ontology
- support vector machine
- mutual information
- decision trees
- support vector
- pattern recognition
- text classification
- clustering method
- wilcoxon rank sum