ScEnsemble: weighted hypergraph ensemble clustering for single-cell RNA sequencing
Beste Uncu, Idil Yavuz · 2026
Read ScEnsemble: weighted hypergraph ensemble clustering for single-cell RNA sequencing by Beste Uncu, Idil Yavuz (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/PMC13480081.txt.
Description
Beste Uncu and Idil Yavuz present a 2026 method for grouping single cells by their gene activity. Each clustering tool for such data wins on some sets and fails on others, so picking one tool feels like a gamble. Their framework, called ScEnsemble, runs many tools and merges results through a weighted network, giving more say to groupings that score well on quality checks.
Tests across five datasets showed the best merged setup matched or beat the best single tool in nearly all comparisons. Weighting by quality beat plain merging in most cases as well. On breast tumour data the merged groups lined up with known cell types confirmed by outside gene scores. Users can tune the merge toward tidy maths or toward clear biology. The approach turns a hard tool choice into a combined answer.
Catalog record
| CREATOR | Beste Uncu, Idil Yavuz |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 62173 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |