Baghbanzadeh, M., Dawson, T., Sayoldin, B., Frazer, S. A., Oakley, T. H., Crandall, K. A., & Rahnavard, A. (2025). deep Breaks identifies and prioritizes genotype–phenotype associations using machine learning. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-25580-6
ISO-690 (author-date, English)BAGHBANZADEH, Mahdi, DAWSON, Tyson, SAYOLDIN, Bahar, FRAZER, Seth A., OAKLEY, Todd H., CRANDALL, Keith A. und RAHNAVARD, Ali, 2025. deep Breaks identifies and prioritizes genotype–phenotype associations using machine learning. Scientific Reports. 1 Dezember 2025. Vol. 15, no. 1, . DOI 10.1038/s41598-025-25580-6.
Modern Language Association 9th editionBaghbanzadeh, M., T. Dawson, B. Sayoldin, S. A. Frazer, T. H. Oakley, K. A. Crandall, und A. Rahnavard. „Deep Breaks Identifies and Prioritizes genotype–phenotype Associations Using Machine Learning“. Scientific Reports, Bd. 15, Nr. 1, Dezember 2025, https://doi.org/10.1038/s41598-025-25580-6.
Mohr Siebeck - Recht (Deutsch - Österreich)Baghbanzadeh, Mahdi/Dawson, Tyson/Sayoldin, Bahar/Frazer, Seth A./Oakley, Todd H./Crandall, Keith A. u. a.: deep Breaks identifies and prioritizes genotype–phenotype associations using machine learning, Scientific Reports 2025,
Emerald - HarvardBaghbanzadeh, M., Dawson, T., Sayoldin, B., Frazer, S.A., Oakley, T.H., Crandall, K.A. und Rahnavard, A. (2025), „deep Breaks identifies and prioritizes genotype–phenotype associations using machine learning“, Scientific Reports, Vol. 15 No. 1, verfügbar unter:https://doi.org/10.1038/s41598-025-25580-6.