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1 Ergebnisse
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Vaginal Microbiome-Based Bacterial Signatures for Predictin..:
Lee, Yoon Hee
;
Kang, Gi-Ung
;
Jeon, Se Young
...
Diagnostics. 10 (2020) 12 - p. 1013 , 2020
Link:
https://doi.org/10.3390/diagnostics10121013
RT Journal T1
Vaginal Microbiome-Based Bacterial Signatures for Predicting the Severity of Cervical Intraepithelial Neoplasia
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_diagnostics10121013&Exemplar=1&LAN=DE A1 Lee, Yoon Hee A1 Kang, Gi-Ung A1 Jeon, Se Young A1 Tagele, Setu Bazie A1 Pham, Huy Quang A1 Kim, Min-Sueng A1 Ahmad, Sajjad A1 Jung, Da-Ryung A1 Park, Yeong-Jun A1 Han, Hyung Soo A1 Shin, Jae-Ho A1 Chong, Gun Oh PB MDPI AG YR 2020 SN 2075-4418 JF Diagnostics VO 10 IS 12 SP 1013 LK http://dx.doi.org/https://doi.org/10.3390/diagnostics10121013 DO https://doi.org/10.3390/diagnostics10121013 SF ELIB - SuUB Bremen
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