Cite
Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs).
MLA
Chung, Ming Kei, et al. “Decoding the Exposome: Data Science Methodologies and Implications in Exposome-Wide Association Studies (ExWASs).” Exposome, vol. 4, no. 1, Jan. 2024, p. osae001. EBSCOhost, https://doi.org/10.1093/exposome/osae001.
APA
Chung, M. K., House, J. S., Akhtari, F. S., Makris, K. C., Langston, M. A., Islam, K. T., Holmes, P., Chadeau-Hyam, M., Smirnov, A. I., Du, X., Thessen, A. E., Cui, Y., Zhang, K., Manrai, A. K., Motsinger-Reif, A., & Patel, C. J. (2024). Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs). Exposome, 4(1), osae001. https://doi.org/10.1093/exposome/osae001
Chicago
Chung, Ming Kei, John S House, Farida S Akhtari, Konstantinos C Makris, Michael A Langston, Khandaker Talat Islam, Philip Holmes, et al. 2024. “Decoding the Exposome: Data Science Methodologies and Implications in Exposome-Wide Association Studies (ExWASs).” Exposome 4 (1): osae001. doi:10.1093/exposome/osae001.