American Psychological Association 6th edition

Li, C.-L., Yao, Z.-Y., Qu, C., Shao, G.-M., Liu, Y.-K., Pei, X.-Y., Cao, J.-Y., & Wang, Z.-S. (2025). Machine learning model reveals the risk, prognosis, and drug response of histamine-related signatures in pancreatic cancer. Discover Oncology, 16(1). https://doi.org/10.1007/s12672-025-01910-y

ISO-690 (author-date, English)

LI, Chang-Lei, YAO, Zhi-Yuan, QU, Chao, SHAO, Guan-Ming, LIU, Yu-Kun, PEI, Xiang-Yu, CAO, Jing-Yu und WANG, Zu-Sen, 2025. Machine learning model reveals the risk, prognosis, and drug response of histamine-related signatures in pancreatic cancer. Discover Oncology. 1 Dezember 2025. Vol. 16, no. 1, . DOI 10.1007/s12672-025-01910-y.

Modern Language Association 9th edition

Li, C.-L., Z.-Y. Yao, C. Qu, G.-M. Shao, Y.-K. Liu, X.-Y. Pei, J.-Y. Cao, und Z.-S. Wang. „Machine Learning Model Reveals the Risk, Prognosis, and Drug Response of Histamine-Related Signatures in Pancreatic Cancer“. Discover Oncology, Bd. 16, Nr. 1, Dezember 2025, https://doi.org/10.1007/s12672-025-01910-y.

Mohr Siebeck - Recht (Deutsch - Österreich)

Li, Chang-Lei/Yao, Zhi-Yuan/Qu, Chao/Shao, Guan-Ming/Liu, Yu-Kun/Pei, Xiang-Yu u. a.: Machine learning model reveals the risk, prognosis, and drug response of histamine-related signatures in pancreatic cancer, Discover Oncology 2025,

Emerald - Harvard

Li, C.-L., Yao, Z.-Y., Qu, C., Shao, G.-M., Liu, Y.-K., Pei, X.-Y., Cao, J.-Y. und Wang, Z.-S. (2025), „Machine learning model reveals the risk, prognosis, and drug response of histamine-related signatures in pancreatic cancer“, Discover Oncology, Vol. 16 No. 1, verfügbar unter:https://doi.org/10.1007/s12672-025-01910-y.

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