 |
| |
Register of Resources (RoR)
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
|   |
| Author keywords |
diversity, fingerprint, flow cytometry, machine learning, microbial communities, mixture model |
| Authors | | Top |
- Rubbens, P.
- Props, R.
- Kerckhof, F.-M.
|
|
|
If any information here appears to be incorrect, please contact us
Back to Register of Resources
| |
|
|
