APA (7th ed.) Citation

Richard-Bollans, A., Aitken, C., Antonelli, A., Bitencourt, C., Goyder, D., Lucas, E., . . . Howes, M. R. (2023). Machine learning enhances prediction of plants as potential sources of antimalarials. Frontiers in plant science, 14, 1173328. https://doi.org/10.3389/fpls.2023.1173328

Chicago Style (17th ed.) Citation

Richard-Bollans, Adam, et al. "Machine Learning Enhances Prediction of Plants as Potential Sources of Antimalarials." Frontiers in Plant Science 14 (2023): 1173328. https://doi.org/10.3389/fpls.2023.1173328.

MLA (9th ed.) Citation

Richard-Bollans, Adam, et al. "Machine Learning Enhances Prediction of Plants as Potential Sources of Antimalarials." Frontiers in Plant Science, vol. 14, 2023, p. 1173328, https://doi.org/10.3389/fpls.2023.1173328.