American Psychological Association 6th edition

Haselbeck, F., John, M., & Grimm, D. G. (2023). easy Pheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using Bayesian optimization. Bioinformatics Advances, 3(1), 1-4. https://doi.org/10.1093/bioadv/vbad035

ISO-690 (author-date, English)

HASELBECK, Florian, JOHN, Maura und GRIMM, Dominik G, 2023. easy Pheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using Bayesian optimization. Bioinformatics Advances. 1 April 2023. Vol. 3, no. 1, p. 1-4. DOI 10.1093/bioadv/vbad035.

Modern Language Association 9th edition

Haselbeck, F., M. John, und D. G. Grimm. „Easy Pheno: An Easy-to-Use and Easy-to-Extend Python Framework for Phenotype Prediction Using Bayesian Optimization.“. Bioinformatics Advances, Bd. 3, Nr. 1, April 2023, S. 1-4, https://doi.org/10.1093/bioadv/vbad035.

Mohr Siebeck - Recht (Deutsch - Österreich)

Haselbeck, Florian/John, Maura/Grimm, Dominik G: easy Pheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using Bayesian optimization., Bioinformatics Advances 2023, 1-4.

Emerald - Harvard

Haselbeck, F., John, M. und Grimm, D.G. (2023), „easy Pheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using Bayesian optimization.“, Bioinformatics Advances, Vol. 3 No. 1, S. 1-4.

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