Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes.
Jin-Xing LiuXiangzhen KongChun-Hou ZhengJunliang ShangWei ZhangPublished in: BIBM (2016)
Keyphrases
- singular value decomposition
- feature extraction
- differentially expressed genes
- dimension reduction
- principal component analysis
- dimensionality reduction
- low rank approximation
- singular vectors
- low rank matrices
- low rank matrix
- microarray data
- singular values
- microarray
- low rank
- least squares
- gene expression
- random projections
- feature space
- high dimensional
- microarray data analysis
- face recognition
- sparse representation
- latent semantic indexing
- image processing
- feature vectors
- feature selection
- discriminant analysis
- pattern recognition
- support vector machine svm
- feature set
- subspace learning
- high dimensionality
- sparse matrix
- linear discriminant analysis
- low dimensional
- qr decomposition
- information retrieval