Matching anticancer compounds and tumor cell lines by neural networks with ranking loss

Computational drug sensitivity models have the potential to improve therapeutic outcomes by identifying targeted drug components that are likely to achieve the highest efficacy for a cancer cell line at hand at a therapeutic dose. State of the art drug sensitivity models use regression techniques to...

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Detalles Bibliográficos
Autores principales: Prasse, Paul, Iversen, Pascal, Lienhard, Matthias, Thedinga, Kristina, Bauer, Chris, Herwig, Ralf, Scheffer, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Methods Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759564/
https://www.ncbi.nlm.nih.gov/pubmed/35047818
http://dx.doi.org/10.1093/nargab/lqab128

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759564/
https://www.ncbi.nlm.nih.gov/pubmed/35047818
http://dx.doi.org/10.1093/nargab/lqab128

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