Interpretable modality-aware mapping of gene regulation in single-cell multiomics with scMAGCA
Yunhe Wang, Zeming Zhou, Wei Liu, Peiru Zhang, Yue Cheng, Yanchi Su, Fuzhou Wang, Ka-Chun Wong, Xiangtao Li · 2026
Read Interpretable modality-aware mapping of gene regulation in single-cell multiomics with scMAGCA by Yunhe Wang, Zeming Zhou, Wei Liu, Peiru Zhang, Yue Cheng, Yanchi Su, Fuzhou Wang, Ka-Chun Wong, Xiangtao Li (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13376942.txt.
Description
Yunhe Wang and eight co-authors present a method for reading gene regulation from single-cell data that spans several molecular layers at once. Their 2026 paper notes that such multi-omics tools measure RNA, protein, and chemical marks in each cell, yet older methods struggle to merge those views well. A merged picture must keep cell relations and stay readable.
Their system, scMAGCA, builds graphs of cells and uses adversarial alignment to learn shared embeddings, compact codes that capture each cell's state. Across many data sets it beat rival methods at aligning the layers, grouping cells, and removing batch effects. In Alzheimer's disease it resolved subtypes of neurons and regulatory programs that single-layer analyses missed. In kidney cancer it found tumor-specific cell groups and markers later confirmed by lab tests. The authors offer it as a readable frame for complex cell states in disease.
Catalog record
| CREATOR | Yunhe Wang, Zeming Zhou, Wei Liu, Peiru Zhang, Yue Cheng, Yanchi Su, Fuzhou Wang, Ka-Chun Wong, Xiangtao Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 158 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |