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Systems BiologyNature Computational Science
Peer-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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02 /Specification & Classification

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