American Psychological Association 6th edition

Settelmeier, J., Goetze, S., Boshart, J., Fu, J., Khoo, A., Steiner, S. N., Gesell, M., Hammer, J., Schüffler, P. J., Salimova, D., Pedrioli, P. G. A., & Wollscheid, B. [ca. 2025]. Multi Omics Agent : : guided extreme gradient-boosted decision trees-based approaches for biomarker-Candidate discovery in multiomics data [Cd]. Freiburg: Universität. https://doi.org/10.1021/acs.jproteome.4 c01066

ISO-690 (author-date, English)

SETTELMEIER, Jens, GOETZE, Sandra, BOSHART, Julia, FU, Jianbo, KHOO, Amanda, STEINER, Sebastian N., GESELL, Martin, HAMMER, Jacqueline, SCHÜFFLER, Peter J., SALIMOVA, Diyora, PEDRIOLI, Patrick G. A. und WOLLSCHEID, Bernd, 2025. Multi Omics Agent : : guided extreme gradient-boosted decision trees-based approaches for biomarker-Candidate discovery in multiomics data. Freiburg: Universität.

Modern Language Association 9th edition

Settelmeier, J., S. Goetze, J. Boshart, J. Fu, A. Khoo, S. N. Steiner, M. Gesell, J. Hammer, P. J. Schüffler, D. Salimova, P. G. A. Pedrioli, und B. Wollscheid. Multi Omics Agent : : guided extreme gradient-boosted decision trees-based approaches for biomarker-Candidate discovery in multiomics data. cd, Universität, 2025, https://doi.org/10.1021/acs.jproteome.4 c01066.

Mohr Siebeck - Recht (Deutsch - Österreich)

Settelmeier, Jens/Goetze, Sandra/Boshart, Julia/Fu, Jianbo/Khoo, Amanda/Steiner, Sebastian N. u. a.: Multi Omics Agent : : guided extreme gradient-boosted decision trees-based approaches for biomarker-Candidate discovery in multiomics data, Freiburg 2025.

Emerald - Harvard

Settelmeier, J., Goetze, S., Boshart, J., Fu, J., Khoo, A., Steiner, S.N., Gesell, M., Hammer, J., Schüffler, P.J., Salimova, D., Pedrioli, P.G.A. und Wollscheid, B. (2025), Multi Omics Agent : : guided extreme gradient-boosted decision trees-based approaches for biomarker-Candidate discovery in multiomics data, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.1021/acs.jproteome.4 c01066.

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