@misc{indiciae67d726e1e548,
  title = {PhenoGMM: Gaussian mixture modelling of microbial cytometry data enables efficient predictions of biodiversity},
  author = {Rubbens, P. and Props, R. and Kerckhof, F.-M. and Boon, N. and Waegeman, W.},
  year = {2019},
  doi = {10.1101/641464},
  url = {https://www.biorxiv.org/content/10.1101/641464v1},
  note = {Source identifier: 10.1101/641464}
}