APA (7th ed.) Citation

Green, A. J., Truong, L., Thunga, P., Leong, C., Hancock, M., Tanguay, R. L., & Reif, D. M. (2024). Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies. PLoS Computational Biology, 20(9), 1. https://doi.org/10.1371/journal.pcbi.1012423

Chicago Style (17th ed.) Citation

Green, Adrian J., Lisa Truong, Preethi Thunga, Connor Leong, Melody Hancock, Robyn L. Tanguay, and David M. Reif. "Deep Autoencoder-based Behavioral Pattern Recognition Outperforms Standard Statistical Methods in High-dimensional Zebrafish Studies." PLoS Computational Biology 20, no. 9 (2024): 1. https://doi.org/10.1371/journal.pcbi.1012423.

MLA (9th ed.) Citation

Green, Adrian J., et al. "Deep Autoencoder-based Behavioral Pattern Recognition Outperforms Standard Statistical Methods in High-dimensional Zebrafish Studies." PLoS Computational Biology, vol. 20, no. 9, 2024, p. 1, https://doi.org/10.1371/journal.pcbi.1012423.