MetaQ: fast, scalable and accurate metacell inference via single-cell quantization
- DOI
- 10.1038/s41467-025-56424-6
- Published
- 2025-01-31
- Container
- Nature Communications
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41467-025-56424-6,
title = {MetaQ: fast, scalable and accurate metacell inference via single-cell quantization},
author = {Yunfan Li and Hancong Li and Yijie Lin and Dan Zhang and Dezhong Peng and Xiting Liu and Jie Xie and Peng Hu and Lu Chen and Han Luo and Xi Peng},
year = {2025},
journal = {Nature Communications},
doi = {10.1038/s41467-025-56424-6},
url = {https://doi.org/10.1038/s41467-025-56424-6}
}RIS
TY - JOUR TI - MetaQ: fast, scalable and accurate metacell inference via single-cell quantization AU - Yunfan Li AU - Hancong Li AU - Yijie Lin AU - Dan Zhang AU - Dezhong Peng AU - Xiting Liu AU - Jie Xie AU - Peng Hu AU - Lu Chen AU - Han Luo AU - Xi Peng PY - 2025 JO - Nature Communications DO - 10.1038/s41467-025-56424-6 UR - https://doi.org/10.1038/s41467-025-56424-6 ER -
APA
Li, Y., Li, H., Lin, Y., Zhang, D., Peng, D., Liu, X., Xie, J., Hu, P., Chen, L., Luo, H., & Peng, X. (2025). MetaQ: fast, scalable and accurate metacell inference via single-cell quantization. Nature Communications. https://doi.org/10.1038/s41467-025-56424-6
Source records
- crossref · retrieved 2026-11-10T14:48:37.872Z