singelcell.bib

@article{kharchenko2021triumphs,
  title={The triumphs and limitations of computational methods for scRNA-seq},
  author={Kharchenko, Peter V},
  journal={Nature Methods},
  pages={1--10},
  year={2021},
  publisher={Nature Publishing Group}
}

@article{breda2021bayesian,
  title={Bayesian inference of gene expression states from single-cell RNA-seq data},
  author={Breda, J{\'e}r{\'e}mie and Zavolan, Mihaela and van Nimwegen, Erik},
  journal={Nature Biotechnology},
  pages={1--9},
  year={2021},
  url={https://www.nature.com/articles/s41587-021-00875-x},
  publisher={Nature Publishing Group}
}

@article{argelaguet2021computational,
  title={Computational principles and challenges in single-cell data integration},
  author={Argelaguet, Ricard and Cuomo, Anna SE and Stegle, Oliver and Marioni, John C},
  journal={Nature Biotechnology},
  pages={1--14},
  year={2021},
  url={https://www.nature.com/articles/s41587-021-00895-7},
  publisher={Nature Publishing Group}
}

@article{zappia2021over,
  title={Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape},
  author={Zappia, Luke and Theis, Fabian J},
  journal={bioRxiv},
  year={2021},
  publisher={Cold Spring Harbor Laboratory}
}

@article{luecken2021benchmarking,
  title={Benchmarking atlas-level data integration in single-cell genomics},
  author={Luecken, Malte D and B{\"u}ttner, Maren and Chaichoompu, Kridsadakorn and Danese, Anna and Interlandi, Marta and Mueller, Michaela Fee and Strobl, Daniel C and Zappia, Luke and Dugas, Martin and Colom{\'e}-Tatch{\'e}, Maria and others},
  journal={Nature Methods},
  pages={1--10},
  year={2021},
  publisher={Nature Publishing Group}
}