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. Supplementary Information The online version contains supplementary material available at (10.1186/s13059-022-02605-1).
【저자키워드】 scRNA-seq, differential expression, IDEAS, 【초록키워드】 single-cell RNA-seq, Patient, Control, Study design, Mild, distribution, expression, Analysis, COVID-19 patient, supplementary material, individual, severe symptoms, individual level, statistical, collected, question, individuals, two group, differentially expressed, increasingly, gene expression difference, 【제목키워드】 single-cell RNA-seq, Analysis, individual level,