APA (7th ed.) Citation

Schaduangrat, N., Anuwongcharoen, N., Moni, M. A., Lio’, P., Charoenkwan, P., & Shoombuatong, W. (2022). StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy. Nature Portfolio.

Chicago Style (17th ed.) Citation

Schaduangrat, Nalini, Nuttapat Anuwongcharoen, Mohammad Ali Moni, Pietro Lio’, Phasit Charoenkwan, and Watshara Shoombuatong. StackPR Is a New Computational Approach for Large-scale Identification of Progesterone Receptor Antagonists Using the Stacking Strategy. Nature Portfolio, 2022.

MLA (9th ed.) Citation

Schaduangrat, Nalini, et al. StackPR Is a New Computational Approach for Large-scale Identification of Progesterone Receptor Antagonists Using the Stacking Strategy. Nature Portfolio, 2022.