# Citation

If you use UniVI, please cite the article:

> Ashford AJ, Enright T, Somers J, Nikolova O, Demir E. Unifying multimodal single-cell data with a mixture-of-experts β-variational autoencoder framework. *Genome Research* **36**(10): 2068–2090 (2026). [doi:10.1101/gr.281431.125](https://doi.org/10.1101/gr.281431.125)

```bibtex
@article{Ashford2026UniVI,
  title   = {Unifying multimodal single-cell data with a mixture-of-experts
             {$\beta$}-variational autoencoder framework},
  author  = {Ashford, Andrew J. and Enright, Trevor and Somers, Julia
             and Nikolova, Olga and Demir, Emek},
  journal = {Genome Research},
  year    = {2026},
  volume  = {36},
  number  = {10},
  pages   = {2068--2090},
  doi     = {10.1101/gr.281431.125},
  url     = {https://doi.org/10.1101/gr.281431.125}
}
```

GitHub's **Cite this repository** button (from `CITATION.cff`) gives the same reference in other formats. When you rely on a specific software version, also report it (`univi.__version__`).

## Datasets

If you use the datasets from `univi.datasets`, please also cite the studies that generated them:

- Hao Y et al. 2021. Integrated analysis of multimodal single-cell data. *Cell* 184: 3573–3587.
- 10x Genomics. PBMC single-cell Multiome ATAC + Gene Expression datasets (Cell Ranger ARC).
- Ding J et al. 2020. Systematic comparison of single-cell and single-nucleus RNA-sequencing methods. *Nat Biotechnol* 38: 737–746.
- Satpathy AT et al. 2019. Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion. *Nat Biotechnol* 37: 925–936.
- Swanson E et al. 2021. Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq. *eLife* 10: e63632.
- Knorr K et al. 2023. Systematic evaluation of AML-associated antigens identifies anti-U5 SNRNP200 therapeutic antibodies for the treatment of acute myeloid leukemia. *Nat Cancer* 4: 1675–1692.
- van Galen P et al. 2019. Single-cell RNA-seq reveals AML hierarchies relevant to disease progression and immunity. *Cell* 176: 1265–1281.
- Demaree B et al. 2021. Joint profiling of DNA and proteins in single cells to dissect genotype–phenotype associations in leukemia. *Nat Commun* 12: 1583.
- Ma S et al. 2020. Chromatin potential identified by shared single-cell profiling of RNA and chromatin. *Cell* 183: 1103–1116.
- Argelaguet R et al. 2019. Multi-omics profiling of mouse gastrulation at single-cell resolution. *Nature* 576: 487–491.

## Figures

Figures shown on the reproduction pages are from the article and its Supplemental Material, © 2026 Ashford et al., published by Cold Spring Harbor Laboratory Press under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).