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. and RAHNAVARD, Ali, 2025. deep Breaks identifies and prioritizes genotype–phenotype associations using machine learning. Scientific Reports. 1 December 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, and A. Rahnavard. “Deep Breaks Identifies and Prioritizes genotype–phenotype Associations Using Machine Learning”. Scientific Reports, vol. 15, no. 1, Dec. 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. et al.: 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. and Rahnavard, A. (2025), “deep Breaks identifies and prioritizes genotype–phenotype associations using machine learning”, Scientific Reports, Vol. 15 No. 1, available at:https://doi.org/10.1038/s41598-025-25580-6.