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Machine learning techniques accurately classify microbial communities by bacterial vaginosis characteristics.
Daniel Beck, James A Foster
PLoS ONE · 2014
doi:10.1371/journal.pone.0087830
Cited by papers we hold 3
- The Female Vaginal Microbiome in Health and Bacterial Vaginosis · 2021No notice
- Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment · 2021No notice
- Application of Machine Learning in Microbiology · 2019No notice
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