Cite
TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopes.
MLA
Meynard-Piganeau, Barthelemy, et al. “TULIP: A Transformer-Based Unsupervised Language Model for Interacting Peptides and T Cell Receptors That Generalizes to Unseen Epitopes.” Proceedings of the National Academy of Sciences of the United States of America, vol. 121, no. 24, June 2024, pp. 1–10. EBSCOhost, https://doi.org/10.1073/pnas.2316401121.
APA
Meynard-Piganeau, B., Feinauer, C., Weigt, M., Walczak, A. M., & Mora, T. (2024). TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopes. Proceedings of the National Academy of Sciences of the United States of America, 121(24), 1–10. https://doi.org/10.1073/pnas.2316401121
Chicago
Meynard-Piganeau, Barthelemy, Christoph Feinauer, Martin Weigt, Aleksandra M. Walczak, and Thierry Mora. 2024. “TULIP: A Transformer-Based Unsupervised Language Model for Interacting Peptides and T Cell Receptors That Generalizes to Unseen Epitopes.” Proceedings of the National Academy of Sciences of the United States of America 121 (24): 1–10. doi:10.1073/pnas.2316401121.