APA (7th ed.) Citation

Brandes, N., Ofer, D., Peleg, Y., Rappoport, N., & Linial, M. (2022). ProteinBERT: A universal deep-learning model of protein sequence and function. Bioinformatics, 38(8), 2102-2110. https://doi.org/10.1093/bioinformatics/btac020

Chicago Style (17th ed.) Citation

Brandes, Nadav, Dan Ofer, Yam Peleg, Nadav Rappoport, and Michal Linial. "ProteinBERT: A Universal Deep-learning Model of Protein Sequence and Function." Bioinformatics 38, no. 8 (2022): 2102-2110. https://doi.org/10.1093/bioinformatics/btac020.

MLA (9th ed.) Citation

Brandes, Nadav, et al. "ProteinBERT: A Universal Deep-learning Model of Protein Sequence and Function." Bioinformatics, vol. 38, no. 8, 2022, pp. 2102-2110, https://doi.org/10.1093/bioinformatics/btac020.