Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.
Chun-Mei FengYong XuJin-Xing LiuYing-Lian GaoChun-Hou ZhengPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- biological data
- gene selection
- tumor classification
- microarray data
- feature selection
- microarray
- high throughput
- semi supervised
- molecular biology
- gene expression profiles
- gene expression data
- cancer classification
- unsupervised learning
- gene expression
- biological networks
- high dimensional
- systems biology
- data sets
- dna microarray
- microarray datasets
- feature extraction
- learning algorithm
- cluster analysis
- informative genes
- supervised learning
- protein protein interactions
- data integration
- support vector machine
- gene sets
- feature ranking
- feature space
- statistical methods
- image processing
- machine learning
- data sources
- dimensionality reduction
- multi step
- labeled data
- semi supervised learning
- support vector
- dimension reduction