Cargando…
Dr.VAE: improving drug response prediction via modeling of drug perturbation effects
MOTIVATION: Individualized drug response prediction is a fundamental part of personalized medicine for cancer. Great effort has been made to discover biomarkers or to develop machine learning methods for accurate drug response prediction in cancers. Incorporating prior knowledge of biological system...
Autores principales: | Rampášek, Ladislav, Hidru, Daniel, Smirnov, Petr, Haibe-Kains, Benjamin, Goldenberg, Anna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761940/ https://www.ncbi.nlm.nih.gov/pubmed/30850846 http://dx.doi.org/10.1093/bioinformatics/btz158 |
Ejemplares similares
-
Machine learning approaches to drug response prediction: challenges and recent progress
por: Adam, George, et al.
Publicado: (2020) -
Assessment of modelling strategies for drug response prediction in cell lines and xenografts
por: Kurilov, Roman, et al.
Publicado: (2020) -
Pathway-Based Drug Response Prediction Using Similarity Identification in Gene Expression
por: Madani Tonekaboni, Seyed Ali, et al.
Publicado: (2020) -
Gene isoforms as expression-based biomarkers predictive of drug response in vitro
por: Safikhani, Zhaleh, et al.
Publicado: (2017) -
Improving VAE based molecular representations for compound property prediction
por: Tevosyan, Ani, et al.
Publicado: (2022)