Nature Computational ScienceSystems BiologyPeer-reviewed journal article
Cepo uncovers cell identity through differential stability
Hani Jieun KimiD, Kevin Y. X. WangiD, Carissa CheniD, Yingxin LiniD, Patrick TamiD, David Ming LiniD, Jean Yee Hwa YangiD, Pengyi YangiD
Abstract
We present Cepo, a method to generate cell-type-specific gene statistics of differentially stable genes from single-cell RNA-sequencing (scRNA-seq) data to define cell identity. Cepo outperforms current methods in assigning cell identity and enhances several cell identification applications such as cell-type characterisation, spatial mapping of single cells, and lineage inference of single cells.
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- 36
- FWCI
- 1.96
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- top 12%
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