APA (7th ed.) Citation

Gueto-Tettay, C., Tang, D., Happonen, L., Heusel, M., Khakzad, H., Malmström, J., & Malmström, L. (2023). Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics. PLoS Computational Biology, 19(1), 1. https://doi.org/10.1371/journal.pcbi.1010457

Chicago Style (17th ed.) Citation

Gueto-Tettay, Carlos, Di Tang, Lotta Happonen, Moritz Heusel, Hamed Khakzad, Johan Malmström, and Lars Malmström. "Multienzyme Deep Learning Models Improve Peptide De Novo Sequencing by Mass Spectrometry Proteomics." PLoS Computational Biology 19, no. 1 (2023): 1. https://doi.org/10.1371/journal.pcbi.1010457.

MLA (9th ed.) Citation

Gueto-Tettay, Carlos, et al. "Multienzyme Deep Learning Models Improve Peptide De Novo Sequencing by Mass Spectrometry Proteomics." PLoS Computational Biology, vol. 19, no. 1, 2023, p. 1, https://doi.org/10.1371/journal.pcbi.1010457.