Ekins, S., Freundlich, J. S., Clark, A. M., Anantpadma, M., Davey, R. A., & Madrid, P. (2017). Machine learning models identify molecules active against the Ebola virus in vitro. F1000Res.
Chicago ZitierstilEkins, Sean, Joel S. Freundlich, Alex M. Clark, Manu Anantpadma, Robert A. Davey, und Peter Madrid. "Machine Learning Models Identify Molecules Active against the Ebola Virus in Vitro." F1000Res 2017.
MLA ZitierstilEkins, Sean, et al. "Machine Learning Models Identify Molecules Active against the Ebola Virus in Vitro." F1000Res 2017.
Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.