An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification.
Ibrahim Al-HuraniAbedalrhman AlkhateebSalama IkkiPublished in: CoRR (2024)
Keyphrases
- data sets
- single class
- training data
- training samples
- labeled data
- class labels
- high dimensional data
- database
- classification accuracy
- data sources
- prior knowledge
- probability distribution
- data points
- feature vectors
- data analysis
- feature extraction
- network structure
- classification trees
- label information
- imbalanced data
- multiple classes
- imbalanced datasets
- learning algorithm
- multi class problems
- class discrimination