Cargando…
AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics
MOTIVATION: The goal of pharmacogenomics is to predict drug response in patients using their single- or multi-omics data. A major challenge is that clinical data (i.e. patients) with drug response outcome is very limited, creating a need for transfer learning to bridge the gap between large pre-clin...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355265/ https://www.ncbi.nlm.nih.gov/pubmed/32657371 http://dx.doi.org/10.1093/bioinformatics/btaa442 |