Deep learning methods for drug response prediction in cancer: Predominant and emerging trends

Cancer claims millions of lives yearly worldwide. While many therapies have been made available in recent years, by in large cancer remains unsolved. Exploiting computational predictive models to study and treat cancer holds great promise in improving drug development and personalized design of trea...

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Detalles Bibliográficos
Autores principales: Partin, Alexander, Brettin, Thomas S., Zhu, Yitan, Narykov, Oleksandr, Clyde, Austin, Overbeek, Jamie, Stevens, Rick L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975164/
https://www.ncbi.nlm.nih.gov/pubmed/36873878
http://dx.doi.org/10.3389/fmed.2023.1086097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975164/
https://www.ncbi.nlm.nih.gov/pubmed/36873878
http://dx.doi.org/10.3389/fmed.2023.1086097

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