Sparse maximum margin discriminant analysis for feature extraction and gene selection on gene expression data.
Yan CuiChun-Hou ZhengJian YangWen ShaPublished in: Comput. Biol. Medicine (2013)
Keyphrases
- discriminant analysis
- maximum margin
- gene selection
- gene expression data
- feature extraction
- microarray
- microarray data
- high dimensional
- linear discriminant analysis
- feature selection
- gene expression
- support vector
- cancer classification
- hyperplane
- high dimensionality
- markov networks
- dna microarray
- support vector machine
- face recognition
- cancer diagnosis
- high dimensional data
- learning algorithm
- gene expression profiles
- feature space
- principal component analysis
- data sets
- multi task
- support vector machine svm
- tumor classification
- dimensionality reduction
- sparse representation
- feature vectors
- multiple kernel learning
- dimensionality reduction methods
- low dimensional
- maximum likelihood
- image classification
- image processing
- microarray datasets
- feature ranking
- multi class
- data points
- nearest neighbor
- training set
- pattern recognition
- cluster analysis