APA (7th ed.) Citation

G, V., D, D., L, M., E, S., Y, L., K, B., & C, O. (2023). Multimodal learning in clinical proteomics: Enhancing antimicrobial resistance prediction models with chemical information. Bioinformatics (Oxford, England), 39(12), . https://doi.org/10.1093/bioinformatics/btad717

Chicago Style (17th ed.) Citation

G, Visonà, Duroux D, Miranda L, Sükei E, Li Y, Borgwardt K, and Oliver C. "Multimodal Learning in Clinical Proteomics: Enhancing Antimicrobial Resistance Prediction Models with Chemical Information." Bioinformatics (Oxford, England) 39, no. 12 (2023). https://doi.org/10.1093/bioinformatics/btad717.

MLA (9th ed.) Citation

G, Visonà, et al. "Multimodal Learning in Clinical Proteomics: Enhancing Antimicrobial Resistance Prediction Models with Chemical Information." Bioinformatics (Oxford, England), vol. 39, no. 12, 2023, https://doi.org/10.1093/bioinformatics/btad717.