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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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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 |