NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning.
Qiu XiaoYu FuYide YangJianhua DaiJiawei LuoPublished in: Briefings Bioinform. (2021)
Keyphrases
- subspace learning
- discriminative subspace
- graph embedding
- dimensionality reduction
- data representation
- locality preserving projections
- face recognition
- low dimensional
- sparse representation
- manifold learning
- data sets
- semi supervised
- image processing
- learning algorithm
- principal component analysis
- maximum likelihood
- vector space
- feature vectors
- relational databases
- image segmentation
- maximum margin criterion