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, 3(1), S. 1-4. doi:10.1093/bioadv/vbad035.
Chicago Manual of Style 17th edition (full note)Haselbeck, Florian, Maura John, und Dominik G Grimm. „Easy Pheno: An Easy-to-Use and Easy-to-Extend Python Framework for Phenotype Prediction Using Bayesian Optimization.“. Bioinformatics Advances 3, Nr. 1 (1. April 2023): 1-4. https://doi.org/10.1093/bioadv/vbad035.
American Psychological Association 7th editionHaselbeck, 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
Modern Language Association 9th editionHaselbeck, 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.
ISO-690 (author-date, Deutsch)HASELBECK, Florian, Maura JOHN und Dominik G GRIMM, 2023. easy Pheno: An easy-to-use and easy-to-extend Python framework for phenotype prediction using Bayesian optimization. Bioinformatics Advances. 1 April 2023. Bd. 3, Nr. 1, S. 1-4. DOI 10.1093/bioadv/vbad035