Cite
Computational analysis of 10,860 phenotypic annotations in individuals with SCN2A-related disorders.
MLA
Crawford, Katherine, et al. “Computational Analysis of 10,860 Phenotypic Annotations in Individuals with SCN2A-Related Disorders.” Genetics in Medicine : Official Journal of the American College of Medical Genetics, vol. 23, no. 7, July 2021, pp. 1263–72. EBSCOhost, https://doi.org/10.1038/s41436-021-01120-1.
APA
Crawford, K., Xian, J., Helbig, K. L., Galer, P. D., Parthasarathy, S., Lewis-Smith, D., Kaufman, M. C., Fitch, E., Ganesan, S., O’Brien, M., Codoni, V., Ellis, C. A., Conway, L. J., Taylor, D., Krause, R., & Helbig, I. (2021). Computational analysis of 10,860 phenotypic annotations in individuals with SCN2A-related disorders. Genetics in Medicine : Official Journal of the American College of Medical Genetics, 23(7), 1263–1272. https://doi.org/10.1038/s41436-021-01120-1
Chicago
Crawford, Katherine, Julie Xian, Katherine L Helbig, Peter D Galer, Shridhar Parthasarathy, David Lewis-Smith, Michael C Kaufman, et al. 2021. “Computational Analysis of 10,860 Phenotypic Annotations in Individuals with SCN2A-Related Disorders.” Genetics in Medicine : Official Journal of the American College of Medical Genetics 23 (7): 1263–72. doi:10.1038/s41436-021-01120-1.