Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection.
Yong-Jing HaoYing-Lian GaoMi-Xiao HouLing-Yun DaiJin-Xing LiuPublished in: Complex. (2019)
Keyphrases
- gene selection
- ovarian cancer
- differentially expressed
- cancer classification
- nonnegative matrix factorization
- microarray
- microarray data
- feature selection
- cancer diagnosis
- gene expression
- gene expression profiles
- support vector machine svm
- microarray data analysis
- microarray datasets
- gene expression data
- support vector machine
- least squares
- matrix factorization
- unsupervised learning
- early detection
- negative matrix factorization
- decision trees
- differentially expressed genes
- machine learning methods
- feature ranking
- high dimensionality
- pattern recognition
- feature extraction
- high throughput
- data sets
- text classification
- knowledge discovery
- feature vectors
- training set
- feature space
- support vector
- mass spectra
- machine learning
- data mining