Posted on July 12, 2021
Ashleigh van Heerden (PhD candidate at the M2PL team) recently published her work that gives insight on machine learning and the use of chemo-transcriptomic profiles to stratify antimalarials based on their mode of action.
Frontiers in Cellular and Infection Microbiology (Invited special issue: Apicomplexan genes to drug discovery).
10.3389/fcimb.2021.688256
Machine learning uses chemo-transcriptomic profiles to stratify antimalarial compounds with similar mode of action
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