Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach. Espinoza, J. L, Dupont, C. L, O’Rourke, A., Beyhan, S., Morales, P., Spoering, A., Meyer, K. J, Chan, A. P, Choi, Y., Nierman, W. C, & others PLOS Computational Biology, 17(3):e1008857, Public Library of Science San Francisco, CA USA, 2021. bibtex @article{espinoza2021predicting,
title={Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach},
author={Espinoza, Josh L and Dupont, Chris L and O’Rourke, Aubrie and Beyhan, Sinem and Morales, Pavel and Spoering, Amy and Meyer, Kirsten J and Chan, Agnes P and Choi, Yongwook and Nierman, William C and others},
journal={PLOS Computational Biology},
volume={17},
number={3},
pages={e1008857},
year={2021},
publisher={Public Library of Science San Francisco, CA USA}
}
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