APA (7th ed.) Citation

E, A., I, B., LK, P., S, P., MS, K., LW, M., & C, M. (2025). Candidate genes for anthracnose resistance in Senegalese sorghum: A machine learning-based exploration. Functional & integrative genomics, 26(1), 5. https://doi.org/10.1007/s10142-025-01797-6

Chicago Style (17th ed.) Citation

E, Ahn, Baek I, Prom LK, Park S, Kim MS, Meinhardt LW, and Magill C. "Candidate Genes for Anthracnose Resistance in Senegalese Sorghum: A Machine Learning-based Exploration." Functional & Integrative Genomics 26, no. 1 (2025): 5. https://doi.org/10.1007/s10142-025-01797-6.

MLA (9th ed.) Citation

E, Ahn, et al. "Candidate Genes for Anthracnose Resistance in Senegalese Sorghum: A Machine Learning-based Exploration." Functional & Integrative Genomics, vol. 26, no. 1, 2025, p. 5, https://doi.org/10.1007/s10142-025-01797-6.