New feature selection for gene expression classification based on degree of class overlap in principal dimensions.
Somsak RakkeitwinaiChidchanok LursinsapChatchawit AporntewanApiwat MutiranguraPublished in: Comput. Biol. Medicine (2015)
Keyphrases
- feature vectors
- feature selection
- feature space
- feature extraction
- feature set
- expression classification
- support vector machine
- facial expression recognition
- facial asymmetry
- microarray datasets
- multi class
- gene expression data
- dimensionality reduction
- gene expression
- facial features
- gene selection
- moving objects
- multiscale
- machine learning