Gene selection for microarray data classification via subspace learning and manifold regularization.
Chang TangLijuan CaoXiao ZhengMinhui WangPublished in: Medical Biol. Eng. Comput. (2018)
Keyphrases
- microarray data classification
- gene selection
- semi supervised
- microarray data
- dimensionality reduction
- microarray
- semi supervised learning
- cancer classification
- gene expression data
- gene expression
- cancer diagnosis
- data representation
- sparse coding
- low dimensional
- high dimensional
- gene expression profiles
- feature selection
- high dimensional data
- high throughput
- dimension reduction
- sparse representation
- labeled data
- learning algorithm
- unsupervised learning
- feature ranking
- face recognition
- unlabeled data
- cluster analysis
- machine learning methods
- data sets
- supervised learning
- data analysis
- support vector
- feature extraction
- image processing
- data mining
- neural network