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American Association for the Advancement of Science, Science Advances, 39(6), 2020

DOI: 10.1126/sciadv.aba9338

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

Journal article published in 2019 by Michelle Dimon, Minjie Fan ORCID, Fernando Sánchez-Román Terán ORCID, Katrin Witmer ORCID, David C. A. Gaboriau ORCID, Jon Hazard, D. Michael Ando, Jake Baum ORCID, Zan Armstrong ORCID, George W. Ashdown ORCID, D. Michael Ando ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Machine learning is applied to high-throughput microscopy images of malaria parasites to define antimalarial drug mode of action.