Identification of Candidate Drugs for Heart Failure Using Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Integrated Analysis of Gene Expression Between Heart Failure and DrugMatrix Datasets.
Y-h. TaguchiPublished in: ICIC (2) (2017)
Keyphrases
- heart failure
- health care
- feature extraction
- normal subjects
- heart disease
- tensor decomposition
- database
- image processing
- auxiliary information
- medical diagnosis
- dimensionality reduction
- unsupervised learning
- microarray data
- data representation
- co occurrence
- principal component analysis
- active learning
- feature vectors
- pairwise
- feature space