Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection.
Ying-Lian GaoMing-Juan WuJin-Xing LiuChun-Hou ZhengJuan WangPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2022)
Keyphrases
- gene selection
- microarray data analysis
- gene expression profiles
- microarray data
- robust principal component analysis
- microarray
- gene expression
- cancer classification
- gene expression data
- clustering algorithm
- clustering method
- cluster analysis
- k means
- higher order
- feature selection
- support vector machine svm
- spectral clustering
- low rank
- high dimensional data
- rank minimization
- singular value decomposition
- data mining
- high dimensionality
- linear combination
- semi supervised
- markov random field
- high dimensional
- decision trees