CRAK-Velo: chromatin accessibility kinetics integration improves RNA velocity estimation
Nour El Kazwini, Mingze Gao, Idris Kouadri Boudjelthia, Fangxin Cai, Yuanhua Huang, Guido Sanguinetti · 2026
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Description
Nour El Kazwini and five co-authors improve estimates of where single cells are heading in development in a 2026 paper. RNA velocity infers a cell's near future from the balance of fresh and mature gene messages in its data, a prized tool in single cell studies. But tying those velocity arrows to the regulatory machinery behind them has proved hard.
Their model, CRAK-Velo, folds in chromatin accessibility, which shows which gene regions are open for use, through a semi mechanistic design. The added layer yields velocity estimates that stay consistent with biology and trace developmental flows more faithfully. It also separates mixed cell types accurately. Gene to chromatin region interactions become visible, shedding light on the regulation driving each cell's path.
Catalog record
| CREATOR | Nour El Kazwini, Mingze Gao, Idris Kouadri Boudjelthia, Fangxin Cai, Yuanhua Huang, Guido Sanguinetti |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |