PhenoGMM: Gaussian mixture modeling of cytometry data quantifies changes inmicrobial community structure
Rubbens, P.; Props, R.; Kerckhof, F.-M.; Boon, N.; Waegeman, W. (2021). PhenoGMM: Gaussian mixture modeling of cytometry data quantifies changes inmicrobial community structure. mSphere 6(1): e00530-20. https://dx.doi.org/10.1128/msphere.00530-20
In: mSphere. American Society for Microbiology: Washington. e-ISSN 2379-5042
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| Author keywords |
diversity, fingerprint, flow cytometry, machine learning, microbial communities, mixture model |
| Auteurs | | Top |
- Rubbens, P.
- Props, R.
- Kerckhof, F.-M.
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