ACDA: implementation of an augmented drug synergy prediction algorithm

MOTIVATION: Drug synergy prediction is approached with machine learning techniques using molecular and pharmacological data. The published Cancer Drug Atlas (CDA) predicts a synergy outcome in cell-line models from drug target information, gene mutations and the models’ monotherapy drug sensitivity....

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Detalles Bibliográficos
Autores principales: Domanskyi, Sergii, Jocoy, Emily L, Srivastava, Anuj, Bult, Carol J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Application Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125903/
https://www.ncbi.nlm.nih.gov/pubmed/37113249
http://dx.doi.org/10.1093/bioadv/vbad051

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125903/
https://www.ncbi.nlm.nih.gov/pubmed/37113249
http://dx.doi.org/10.1093/bioadv/vbad051

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