Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification.
Chuan-Yuan WangNa YuMing-Juan WuYing-Lian GaoJin-Xing LiuJuan WangPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2021)
Keyphrases
- differentially expressed genes
- tumor classification
- microarray data
- gene selection
- hyper graph
- microarray
- gene expression data
- gene expression
- feature selection
- gene expression profiles
- negative matrix factorization
- microarray data analysis
- random walk
- multi step
- supervised learning
- unsupervised methods
- learning algorithm
- data sets
- semi supervised
- matrix factorization
- pattern recognition
- gene ontology
- unsupervised learning
- microarray datasets
- semi supervised learning
- machine learning
- principal component analysis
- document clustering
- high dimensionality
- cluster analysis
- data publishing
- labeled data