NrGe-DTL: a computational framework for cancer drug response prediction based on deep transfer learning from combined denoised genomic profiles and chemical structure embedding of drugs.
Yuchen ZhangLinghang LianXuhua YangPublished in: BIBM (2023)
Keyphrases
- computational framework
- transfer learning
- drug discovery
- drug design
- learning tasks
- knowledge transfer
- cross domain
- virtual screening
- computational model
- active learning
- multi task
- structure learning
- labeled data
- multi task learning
- collaborative filtering
- transfer knowledge
- data sets
- machine learning
- domain adaptation
- manifold alignment
- high throughput
- text categorization
- semi supervised learning
- text classification
- information extraction
- decision trees
- data mining