Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
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DOI: 10.1038/s41467-022-33758-z
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- Songming Tang & Xuejian Cui & Rongxiang Wang & Sijie Li & Siyu Li & Xin Huang & Shengquan Chen, 2024. "scCASE: accurate and interpretable enhancement for single-cell chromatin accessibility sequencing data," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
- Gaoyang Hao & Yi Fan & Zhuohan Yu & Yanchi Su & Haoran Zhu & Fuzhou Wang & Xingjian Chen & Yuning Yang & Guohua Wang & Ka-chun Wong & Xiangtao Li, 2025. "Topological identification and interpretation for single-cell epigenetic regulation elucidation in multi-tasks using scAGDE," Nature Communications, Nature, vol. 16(1), pages 1-26, December.
- Yuyao Liu & Zhen Li & Xiaoyang Chen & Xuejian Cui & Zijing Gao & Rui Jiang, 2025. "INSTINCT: Multi-sample integration of spatial chromatin accessibility sequencing data via stochastic domain translation," Nature Communications, Nature, vol. 16(1), pages 1-23, December.
- Andreas Fønss Møller & Jesper Grud Skat Madsen, 2023. "JOINTLY: interpretable joint clustering of single-cell transcriptomes," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
- Kai Cao & Qiyu Gong & Yiguang Hong & Lin Wan, 2022. "A unified computational framework for single-cell data integration with optimal transport," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
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