A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens
G. W. Ashdown, M. Dimon, M. Fan, F. S.-R. Teran, K. Witmer, D. C. A. Gaboriau, Z. Armstrong, J. Hazard, D. M. Ando, J. Baum
The paper develops a semi-supervised machine learning method to classify drug-induced morphological changes in malaria parasite cultures, enabling clustering of drugs by mechanism of action.
bioRxiv · Dec 19, 2019Microbiology