American Psychological Association 6th edition

Nayshool, O., Kol, N., Javaski, E., Amariglio, N., & Rechavi, G. (2022). Survive AI: Long Term Survival Prediction of Cancer Patients Based on Somatic RNA-Seq Expression. Cancer Informatics, 21, 1-9. https://doi.org/10.1177/11769351221127875

ISO-690 (author-date, English)

NAYSHOOL, Omri, KOL, Nitzan, JAVASKI, Elisheva, AMARIGLIO, Ninette und RECHAVI, Gideon, 2022. Survive AI: Long Term Survival Prediction of Cancer Patients Based on Somatic RNA-Seq Expression. Cancer Informatics. 7 Oktober 2022. Vol. 21, , p. 1-9. DOI 10.1177/11769351221127875.

Modern Language Association 9th edition

Nayshool, O., N. Kol, E. Javaski, N. Amariglio, und G. Rechavi. „Survive AI: Long Term Survival Prediction of Cancer Patients Based on Somatic RNA-Seq Expression.“. Cancer Informatics, Bd. 21, Oktober 2022, S. 1-9, https://doi.org/10.1177/11769351221127875.

Mohr Siebeck - Recht (Deutsch - Österreich)

Nayshool, Omri/Kol, Nitzan/Javaski, Elisheva/Amariglio, Ninette/Rechavi, Gideon: Survive AI: Long Term Survival Prediction of Cancer Patients Based on Somatic RNA-Seq Expression., Cancer Informatics 2022, 1-9.

Emerald - Harvard

Nayshool, O., Kol, N., Javaski, E., Amariglio, N. und Rechavi, G. (2022), „Survive AI: Long Term Survival Prediction of Cancer Patients Based on Somatic RNA-Seq Expression.“, Cancer Informatics, Vol. 21, S. 1-9.

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