Cite
Proteomic signatures predict preeclampsia in individual cohorts but not across cohorts – implications for clinical biomarker studies.
MLA
Ghaemi, Mohammad S., et al. “Proteomic Signatures Predict Preeclampsia in Individual Cohorts but Not across Cohorts – Implications for Clinical Biomarker Studies.” Journal of Maternal-Fetal & Neonatal Medicine, vol. 35, no. 25, Dec. 2022, pp. 5621–28. EBSCOhost, https://doi.org/10.1080/14767058.2021.1888915.
APA
Ghaemi, M. S., Tarca, A. L., Romero, R., Stanley, N., Fallahzadeh, R., Tanada, A., Culos, A., Ando, K., Han, X., Blumenfeld, Y. J., Druzin, M. L., El-Sayed, Y. Y., Gibbs, R. S., Winn, V. D., Contrepois, K., Ling, X. B., Wong, R. J., Shaw, G. M., Stevenson, D. K., & Gaudilliere, B. (2022). Proteomic signatures predict preeclampsia in individual cohorts but not across cohorts – implications for clinical biomarker studies. Journal of Maternal-Fetal & Neonatal Medicine, 35(25), 5621–5628. https://doi.org/10.1080/14767058.2021.1888915
Chicago
Ghaemi, Mohammad S., Adi L. Tarca, Roberto Romero, Natalie Stanley, Ramin Fallahzadeh, Athena Tanada, Anthony Culos, et al. 2022. “Proteomic Signatures Predict Preeclampsia in Individual Cohorts but Not across Cohorts – Implications for Clinical Biomarker Studies.” Journal of Maternal-Fetal & Neonatal Medicine 35 (25): 5621–28. doi:10.1080/14767058.2021.1888915.