CycleMix: Gaussian mixture modeling of the cell cycle
Jack Edward Peplinski, Tallulah S Andrews · 2026
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Description
Jack Edward Peplinski and Tallulah S. Andrews present a 2026 software study of CycleMix, a new algorithm for assigning cell cycle stages from single-cell gene data. Knowing which cells are dividing matters in cancer, repair, and inflammation research. Existing tools force cells into three broad states and have shaky accuracy on modern droplet datasets.
The authors show the two most used tools performing poorly, with one frequently labeling mature non-dividing cells, even neurons, as actively cycling. CycleMix uses Gaussian mixture modeling to allow any number of states and to recognize when a cell is not cycling at all. Benchmarks across datasets demonstrate better accuracy than the incumbents. The tool aims to stop a quiet source of error in thousands of single-cell studies.
Catalog record
| CREATOR | Jack Edward Peplinski, Tallulah S Andrews |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 49290 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |