Cepo uncovers cell identity through differential stability

Autor: Kevin Wang, Patrick P.L. Tam, Jean Yh Yang, Hani Jieun Kim, Yingxin Lin, Carissa Chen, Pengyi Yang, David M. Lin
Rok vydání: 2021
Předmět:
DOI: 10.1101/2021.01.10.426138
Popis: 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.
Databáze: OpenAIRE