American Psychological Association 6th edition

Chen, Z., Wang, M., Wilde, R. L. de, Feng, R., Su, M., Torres-de la Roche, L. A., & Shi, W. [ca. 2021]. A machine learning model to predict the triple negative breast cancer immune subtype [Cd]. Freiburg: Universität. https://doi.org/10.3389/fimmu.2021.749459

ISO-690 (author-date, English)

CHEN, Zihao, WANG, Maoli, WILDE, Rudy Leon de, FENG, Ruifa, SU, Mingqiang, TORRES-DE LA ROCHE, Luz Angela und SHI, Wenjie, 2021. A machine learning model to predict the triple negative breast cancer immune subtype. Freiburg: Universität.

Modern Language Association 9th edition

Chen, Z., M. Wang, R. L. de Wilde, R. Feng, M. Su, L. A. Torres-de la Roche, und W. Shi. A machine learning model to predict the triple negative breast cancer immune subtype. cd, Universität, 2021, https://doi.org/10.3389/fimmu.2021.749459.

Mohr Siebeck - Recht (Deutsch - Österreich)

Chen, Zihao/Wang, Maoli/Wilde, Rudy Leon de/Feng, Ruifa/Su, Mingqiang/Torres-de la Roche, Luz Angela u. a.: A machine learning model to predict the triple negative breast cancer immune subtype, Freiburg 2021.

Emerald - Harvard

Chen, Z., Wang, M., Wilde, R.L. de, Feng, R., Su, M., Torres-de la Roche, L.A. und Shi, W. (2021), A machine learning model to predict the triple negative breast cancer immune subtype, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.3389/fimmu.2021.749459.

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