Identifying Subpopulations of Cells in Single-Cell Transcriptomic Data: A Bayesian Mixture Modeling Approach to Zero Inflation of Counts

Tom Wilson, Duong H. T. Vo, Thomas Thorne. Identifying Subpopulations of Cells in Single-Cell Transcriptomic Data: A Bayesian Mixture Modeling Approach to Zero Inflation of Counts. Journal of Computational Biology, 30(10):1059-1074, October 2023. [doi]

@article{WilsonVT23,
  title = {Identifying Subpopulations of Cells in Single-Cell Transcriptomic Data: A Bayesian Mixture Modeling Approach to Zero Inflation of Counts},
  author = {Tom Wilson and Duong H. T. Vo and Thomas Thorne},
  year = {2023},
  month = {October},
  doi = {10.1089/cmb.2022.0273},
  url = {https://doi.org/10.1089/cmb.2022.0273},
  researchr = {https://researchr.org/publication/WilsonVT23},
  cites = {0},
  citedby = {0},
  journal = {Journal of Computational Biology},
  volume = {30},
  number = {10},
  pages = {1059-1074},
}