R, M., W, Z., CJF, C., P, N., X, Z., T, U., & MB, G. (2025). Machine-learning models based on histological images from healthy donors identify imageQTLs and predict chronological age. Proceedings of the National Academy of Sciences of the United States of America, 122(46), e2423469122. https://doi.org/10.1073/pnas.2423469122
Chicago Style (17th ed.) CitationR, Meng, Zhu W, Cameron CJF, Ni P, Zhou X, Ulammandakh T, and Gerstein MB. "Machine-learning Models Based on Histological Images from Healthy Donors Identify ImageQTLs and Predict Chronological Age." Proceedings of the National Academy of Sciences of the United States of America 122, no. 46 (2025): e2423469122. https://doi.org/10.1073/pnas.2423469122.
MLA (9th ed.) CitationR, Meng, et al. "Machine-learning Models Based on Histological Images from Healthy Donors Identify ImageQTLs and Predict Chronological Age." Proceedings of the National Academy of Sciences of the United States of America, vol. 122, no. 46, 2025, p. e2423469122, https://doi.org/10.1073/pnas.2423469122.