LRSSL: predict and interpret drug-disease associations based on data integration using sparse subspace learning.
Xujun LiangPengfei ZhangLu YanYing FuFang PengPublished in: Bioinform. (2017)
Keyphrases
- data integration
- subspace learning
- sparse representation
- sparse coding
- dimensionality reduction
- data management
- data model
- data sources
- manifold learning
- databases
- data exchange
- query answering
- data representation
- data warehouse
- face recognition
- semi supervised
- schema mappings
- principal component analysis
- association rules
- natural images
- heterogeneous data sources
- image classification
- high dimensional data
- low dimensional
- high dimensional
- business intelligence
- biological databases
- query decomposition
- unsupervised learning
- linear combination
- image representation
- biological data
- generative model
- feature space
- image patches
- multiscale
- computer vision