APA (7th ed.) Citation

Posani, L., Rizzato, F., Monasson, R., & Cocco, S. (2023). Infer global, predict local: Quantity-relevance trade-off in protein fitness predictions from sequence data. PLoS Computational Biology, 19(10), 1. https://doi.org/10.1371/journal.pcbi.1011521

Chicago Style (17th ed.) Citation

Posani, Lorenzo, Francesca Rizzato, Rémi Monasson, and Simona Cocco. "Infer Global, Predict Local: Quantity-relevance Trade-off in Protein Fitness Predictions from Sequence Data." PLoS Computational Biology 19, no. 10 (2023): 1. https://doi.org/10.1371/journal.pcbi.1011521.

MLA (9th ed.) Citation

Posani, Lorenzo, et al. "Infer Global, Predict Local: Quantity-relevance Trade-off in Protein Fitness Predictions from Sequence Data." PLoS Computational Biology, vol. 19, no. 10, 2023, p. 1, https://doi.org/10.1371/journal.pcbi.1011521.