IDEAS: individual level differential expression analysis for single-cell RNA-seq data.
IDEAS: individual level differential expression analysis for single-cell RNA-seq data.
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DOI：
10.1186/s13059-022-02605-1
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发表时间：
2022-01-24
期刊：
影响因子：
12.3
通讯作者：
Sun W
中科院分区：
文献类型：
--
作者：
Zhang M;Liu S;Miao Z;Han F;Gottardo R;Sun W
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 (individual level differential expression analysis for scRNA-seq). For each gene, IDEAS summarizes its expression in each individual by a distribution and then assesses whether these individual-specific distributions are different between two groups of individuals. We apply IDEAS to assess gene expression differences of autism patients versus controls and COVID-19 patients with mild versus severe symptoms. The online version contains supplementary material available at (10.1186/s13059-022-02605-1).
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