Sparse linear discriminant analysis for simultaneous testing for the significance of a gene set/pathway and gene selection.
Michael C. WuLingsong ZhangZhaoxi WangDavid ChristianiXihong LinPublished in: Bioinform. (2009)
Keyphrases
- gene selection
- linear discriminant analysis
- gene sets
- microarray data
- support vector machine svm
- small sample size
- biologically relevant
- discriminant analysis
- high dimensional
- microarray
- dimensionality reduction
- principal component analysis
- cancer classification
- gene expression data
- face recognition
- high dimensional data
- metabolic pathways
- microarray datasets
- gene expression
- support vector
- biologically meaningful
- feature space
- feature extraction
- support vector machine
- statistical significance
- svm classifier
- data sets
- data mining
- feature selection
- gene ontology
- feature ranking
- machine learning methods
- low dimensional
- kernel function
- high dimensionality
- neural network