RM, B., G, d. O. A., IT, B., Jr, M. W., DEV, P., MC, B., & S, d. A. S. (2025). PerseuCPP: A machine learning strategy to predict cell-penetrating peptides and their uptake efficiency. Bioinformatics advances, 5(1), vbaf213. https://doi.org/10.1093/bioadv/vbaf213
Chicago Style (17th ed.) CitationRM, Bernardes-Loch, de Oliveira Almeida G, Brasiliano IT, Meira W. Jr, Pires DEV, Baracat-Pereira MC, and de Azevedo Silveira S. "PerseuCPP: A Machine Learning Strategy to Predict Cell-penetrating Peptides and Their Uptake Efficiency." Bioinformatics Advances 5, no. 1 (2025): vbaf213. https://doi.org/10.1093/bioadv/vbaf213.
MLA (9th ed.) CitationRM, Bernardes-Loch, et al. "PerseuCPP: A Machine Learning Strategy to Predict Cell-penetrating Peptides and Their Uptake Efficiency." Bioinformatics Advances, vol. 5, no. 1, 2025, p. vbaf213, https://doi.org/10.1093/bioadv/vbaf213.