The purpose of this study was to select markers that improve predictive power through machine learning among various vaginal microbiota and develop an excellent prediction algorithm that combines clin

NIAID Data Ecosystem40

The Vaginal Microbiota: What Have We Learned after a Decade of Molecular Characterization?

微生物组分析

细菌性阴道病研究

We conducted a systematic review of the Medline database (U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD, U.S.A) to determine if consistent molecular vaginal microbiota

NIAID Data Ecosystem20

16S rRNA sequencing of feces

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