A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens

Drug resistance threatens the effective prevention and treatment of an ever-increasing range of human infections. This highlights an urgent need for new and improved drugs with novel mechanisms of action to avoid cross-resistance. Current cell-based drug screens are, however, restricted to binary li...

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Detalles Bibliográficos
Autores principales: Ashdown, George W., Dimon, Michelle, Fan, Minjie, Sánchez-Román Terán, Fernando, Witmer, Kathrin, Gaboriau, David C. A., Armstrong, Zan, Ando, D. Michael, Baum, Jake
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518791/
https://www.ncbi.nlm.nih.gov/pubmed/32978158
http://dx.doi.org/10.1126/sciadv.aba9338

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518791/
https://www.ncbi.nlm.nih.gov/pubmed/32978158
http://dx.doi.org/10.1126/sciadv.aba9338

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