Mayer, B., Holtrup, S., & Graumann, P. [ca. 2022]. A machine learning-empowered workflow to discriminate bacillus subtilis motility phenotypes. In Bio Med Informatics [Cd]. Basel: MDPI. https://doi.org/10.3390/biomedinformatics2040036
ISO-690 (author-date, English)MAYER, Benjamin, HOLTRUP, Sven und GRAUMANN, Peter, 2022. A machine learning-empowered workflow to discriminate bacillus subtilis motility phenotypes. Basel: MDPI.
Modern Language Association 9th editionMayer, B., S. Holtrup, und P. Graumann. „A machine learning-empowered workflow to discriminate bacillus subtilis motility phenotypes“. Bio Med Informatics, cd, MDPI, 2022, https://doi.org/10.3390/biomedinformatics2040036.
Mohr Siebeck - Recht (Deutsch - Österreich)Mayer, Benjamin/Holtrup, Sven/Graumann, Peter: A machine learning-empowered workflow to discriminate bacillus subtilis motility phenotypes, Basel 2022.
Emerald - HarvardMayer, B., Holtrup, S. und Graumann, P. (2022), A machine learning-empowered workflow to discriminate bacillus subtilis motility phenotypes, Bio Med Informatics, Bd. , MDPI, Basel, verfügbar unter:https://doi.org/10.3390/biomedinformatics2040036.