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IDEAS: individual level differential expression analysis for single-cell RNA-seq data

We consider an increasingly popular study design where single-cell RNA-seq data are collected from multiple individuals and the question of interest is to find genes that are differentially expressed between two groups of individuals. Towards this end, we propose a statistical method named IDEAS (in...

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Detalles Bibliográficos
Autores principales: Zhang, Mengqi, Liu, Si, Miao, Zhen, Han, Fang, Gottardo, Raphael, Sun, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784862/
https://www.ncbi.nlm.nih.gov/pubmed/35073995
http://dx.doi.org/10.1186/s13059-022-02605-1