Tensor Robust PCA Based on Transformed Tensor Singular Value Decomposition for Cancer Genomic Data.
Sheng-Nan ZhangYu-Lin ZhangJin-Xing LiuJuan WangJunliang ShangDao-Hui GePublished in: BIBM (2022)
Keyphrases
- singular value decomposition
- genomic data
- singular vectors
- dimensionality reduction
- principal component analysis
- high order
- singular values
- least squares
- low rank
- high throughput
- gene expression profiles
- low dimensional
- biological data
- feature selection
- support vector machine
- protein protein interactions
- experimental conditions
- knowledge discovery
- high dimensional
- feature space
- low rank approximation
- image sequences