PhenoGMM: Gaussian mixture modelling of microbial cytometry data enables efficient predictions of biodiversity
P. Rubbens, R. Props, F.-M. Kerckhof, N. Boon, W. Waegeman
PhenoGMM uses Gaussian Mixture Models to predict microbial diversity from flow cytometry data, integrating with 16S rRNA sequencing for improved accuracy.
bioRxiv · Jun 19, 2020 · PreprintMicrobiology