American Psychological Association 6th edition

Moon, S. [ca. 2020]. Using Automation, Theory and Machine Learning to Gain Mechanistic Understanding of Chemical Glycosylation (Freie Universität Berlin) [Cd]. Freie Universität Berlin, Berlin. https://doi.org/10.17169/refubium-27453

ISO-690 (author-date, English)

MOON, Sooyeon, 2020. Using Automation, Theory and Machine Learning to Gain Mechanistic Understanding of Chemical Glycosylation. Berlin: Freie Universität Berlin.

Modern Language Association 9th edition

Moon, S. Using Automation, Theory and Machine Learning to Gain Mechanistic Understanding of Chemical Glycosylation. cd, Freie Universität Berlin, 2020, https://doi.org/10.17169/refubium-27453.

Mohr Siebeck - Recht (Deutsch - Österreich)

Emerald - Harvard

Moon, S. (2020), Using Automation, Theory and Machine Learning to Gain Mechanistic Understanding of Chemical Glycosylation, Freie Universität Berlin, Berlin, verfügbar unter:https://doi.org/10.17169/refubium-27453.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.