Ellis, J.L.; Alaiz-Moretón, H.; Navarro-Villa, A.; McGeough, E.J.; Purcell, P.; Powell, C.D.; O’Kiely, P.; France, J.; López, S.
Application of Meta-Analysis and Machine Learning Methods to the Prediction of Methane Production from In Vitro Mixed Ruminal Micro-Organism Fermentation. Animals 2020, 10, 720.
https://doi.org/10.3390/ani10040720
AMA Style
Ellis JL, Alaiz-Moretón H, Navarro-Villa A, McGeough EJ, Purcell P, Powell CD, O’Kiely P, France J, López S.
Application of Meta-Analysis and Machine Learning Methods to the Prediction of Methane Production from In Vitro Mixed Ruminal Micro-Organism Fermentation. Animals. 2020; 10(4):720.
https://doi.org/10.3390/ani10040720
Chicago/Turabian Style
Ellis, Jennifer L., Héctor Alaiz-Moretón, Alberto Navarro-Villa, Emma J. McGeough, Peter Purcell, Christopher D. Powell, Padraig O’Kiely, James France, and Secundino López.
2020. "Application of Meta-Analysis and Machine Learning Methods to the Prediction of Methane Production from In Vitro Mixed Ruminal Micro-Organism Fermentation" Animals 10, no. 4: 720.
https://doi.org/10.3390/ani10040720
APA Style
Ellis, J. L., Alaiz-Moretón, H., Navarro-Villa, A., McGeough, E. J., Purcell, P., Powell, C. D., O’Kiely, P., France, J., & López, S.
(2020). Application of Meta-Analysis and Machine Learning Methods to the Prediction of Methane Production from In Vitro Mixed Ruminal Micro-Organism Fermentation. Animals, 10(4), 720.
https://doi.org/10.3390/ani10040720