DeepIDA-GRU: a deep learning pipeline for integrative discriminant analysis of cross-sectional and longitudinal multiview data with applications to inflammatory bowel disease classification.
Sarthak JainSandra E. SafoPublished in: Briefings Bioinform. (2024)
Keyphrases
- discriminant analysis
- cross sectional
- deep learning
- data sets
- feature selection
- face recognition
- pattern recognition
- machine learning
- cross section
- high dimensional data
- unsupervised learning
- principal component analysis
- feature extraction
- multi class
- image data
- knowledge discovery
- cross validation
- linear discriminant analysis
- feature space
- training data
- image processing