Fonseca, P. A. d. S., Suarez-Vega, A., Esteban-Blanco, C., Marina, H., Pelayo, R., Gutiérrez-Gil, B., & Arranz, J. (2025). Integration of epigenomic and genomic data to predict residual feed intake and the feed conversion ratio in dairy sheep via machine learning algorithms. BMC genomics, 26(1), 313-17. https://doi.org/10.1186/s12864-025-11520-1
Chicago Style (17th ed.) CitationFonseca, Pablo Augusto de Souza, Aroa Suarez-Vega, Cristina Esteban-Blanco, Héctor Marina, Rocío Pelayo, Beatriz Gutiérrez-Gil, and Juan-José Arranz. "Integration of Epigenomic and Genomic Data to Predict Residual Feed Intake and the Feed Conversion Ratio in Dairy Sheep via Machine Learning Algorithms." BMC Genomics 26, no. 1 (2025): 313-17. https://doi.org/10.1186/s12864-025-11520-1.
MLA (9th ed.) CitationFonseca, Pablo Augusto de Souza, et al. "Integration of Epigenomic and Genomic Data to Predict Residual Feed Intake and the Feed Conversion Ratio in Dairy Sheep via Machine Learning Algorithms." BMC Genomics, vol. 26, no. 1, 2025, pp. 313-17, https://doi.org/10.1186/s12864-025-11520-1.