FC, F., MH, C., A, G., LV, L., MGL, d. S., MLR, M., . . . OL, F. (2023). Geometric deep learning as a potential tool for antimicrobial peptide prediction. Frontiers in bioinformatics, 3, 1216362. https://doi.org/10.3389/fbinf.2023.1216362
Chicago Style (17th ed.) CitationFC, Fernandes, Cardoso MH, Gil-Ley A, Luchi LV, da Silva MGL, Macedo MLR, de la Fuente-Nunez C, and Franco OL. "Geometric Deep Learning as a Potential Tool for Antimicrobial Peptide Prediction." Frontiers in Bioinformatics 3 (2023): 1216362. https://doi.org/10.3389/fbinf.2023.1216362.
MLA (9th ed.) CitationFC, Fernandes, et al. "Geometric Deep Learning as a Potential Tool for Antimicrobial Peptide Prediction." Frontiers in Bioinformatics, vol. 3, 2023, p. 1216362, https://doi.org/10.3389/fbinf.2023.1216362.