APA (7th ed.) Citation

Elgart, M., Lyons, G., Romero-Brufau, S., Kurniansyah, N., Brody, J. A., Guo, X., . . . Sofer, T. (2022, August). Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations. Communications Biology.

Chicago Style (17th ed.) Citation

Elgart, Michael, et al. "Non-linear Machine Learning Models Incorporating SNPs and PRS Improve Polygenic Prediction in Diverse Human Populations." Communications Biology Aug. 2022.

MLA (9th ed.) Citation

Elgart, Michael, et al. "Non-linear Machine Learning Models Incorporating SNPs and PRS Improve Polygenic Prediction in Diverse Human Populations." Communications Biology, Aug. 2022.