Lee, Y.H.; Kang, G.-U.; Jeon, S.Y.; Tagele, S.B.; Pham, H.Q.; Kim, M.-S.; Ahmad, S.; Jung, D.-R.; Park, Y.-J.; Han, H.S.;
et al. Vaginal Microbiome-Based Bacterial Signatures for Predicting the Severity of Cervical Intraepithelial Neoplasia. Diagnostics 2020, 10, 1013.
https://doi.org/10.3390/diagnostics10121013
AMA Style
Lee YH, Kang G-U, Jeon SY, Tagele SB, Pham HQ, Kim M-S, Ahmad S, Jung D-R, Park Y-J, Han HS,
et al. Vaginal Microbiome-Based Bacterial Signatures for Predicting the Severity of Cervical Intraepithelial Neoplasia. Diagnostics. 2020; 10(12):1013.
https://doi.org/10.3390/diagnostics10121013
Chicago/Turabian Style
Lee, Yoon Hee, Gi-Ung Kang, Se Young Jeon, Setu Bazie Tagele, Huy Quang Pham, Min-Sueng Kim, Sajjad Ahmad, Da-Ryung Jung, Yeong-Jun Park, Hyung Soo Han,
and et al. 2020. "Vaginal Microbiome-Based Bacterial Signatures for Predicting the Severity of Cervical Intraepithelial Neoplasia" Diagnostics 10, no. 12: 1013.
https://doi.org/10.3390/diagnostics10121013
APA Style
Lee, Y. H., Kang, G.-U., Jeon, S. Y., Tagele, S. B., Pham, H. Q., Kim, M.-S., Ahmad, S., Jung, D.-R., Park, Y.-J., Han, H. S., Shin, J.-H., & Chong, G. O.
(2020). Vaginal Microbiome-Based Bacterial Signatures for Predicting the Severity of Cervical Intraepithelial Neoplasia. Diagnostics, 10(12), 1013.
https://doi.org/10.3390/diagnostics10121013