- Title
- Machine learning techniques accurately classify microbial communities by bacterial vaginosis characteristics
- Creators
- James A Foster - University of IdahoDaniel L Beck - University of Idaho
- Publication Details
- PLOS One, Vol.9(2), p.e87830
- Identifiers
- 996630470801851
- Academic Unit
- University of Idaho
- Language
- English
- Resource Type
- Journal article
Journal article
Machine learning techniques accurately classify microbial communities by bacterial vaginosis characteristics
PLOS One, Vol.9(2), p.e87830
2014
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