Drug ranking using machine learning systematically predicts the efficacy of anti-cancer drugs

Artificial intelligence and machine learning (ML) promise to transform cancer therapies by accurately predicting the most appropriate therapies to treat individual patients. Here, we present an approach, named Drug Ranking Using ML (DRUML), which uses omics data to produce ordered lists of >400 d...

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Detalles Bibliográficos
Autores principales: Gerdes, Henry, Casado, Pedro, Dokal, Arran, Hijazi, Maruan, Akhtar, Nosheen, Osuntola, Ruth, Rajeeve, Vinothini, Fitzgibbon, Jude, Travers, Jon, Britton, David, Khorsandi, Shirin, Cutillas, Pedro R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994645/
https://www.ncbi.nlm.nih.gov/pubmed/33767176
http://dx.doi.org/10.1038/s41467-021-22170-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994645/
https://www.ncbi.nlm.nih.gov/pubmed/33767176
http://dx.doi.org/10.1038/s41467-021-22170-8

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