Robust subspace structure discovery for cell type identification in scRNA-seq data
Xianyong Zhou, Xindian Wei, Cheng Liu, Wenjun Shen, Ping Xuan, Si Wu, Hau-San Wong · 2025
Read Robust subspace structure discovery for cell type identification in scRNA-seq data by Xianyong Zhou, Xindian Wei, Cheng Liu, Wenjun Shen, Ping Xuan, Si Wu, Hau-San Wong (2025) 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-12752283.txt.
Description
Naming each cell in a tissue from its gene chatter is the first step of single-cell work, and the chatter is noisy, sparse, and vast. Xianyong Zhou and six co-authors group the cells by a sturdier map in 2025. Their frame learns how each cell can be rebuilt from its peers, a self-portrait that washes out lone noise.
A structure guide and a transport rule, borrowed from the maths of moving piles, tune the portrait as it learns. Cells that share a subspace land together, even when their raw reads are thin. Past grouping tools bend under the noise; this one is built to hold. True types, cleanly found, anchor all the biology that follows.
Catalog record
| CREATOR | Xianyong Zhou, Xindian Wei, Cheng Liu, Wenjun Shen, Ping Xuan, Si Wu, Hau-San Wong |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |