2023
DOI: 10.1101/2023.03.17.533005
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Efficient differential expression analysis of large-scale single cell transcriptomics data using dreamlet

Abstract: Advances in single-cell and -nucleus transcriptomics have enabled generation of increasingly large-scale datasets from hundreds of subjects and millions of cells. These studies promise to give unprecedented insight into the cell type specific biology of human disease. Yet performing differential expression analyses across subjects remains difficult due to challenges in statistical modeling of these complex studies and scaling analyses to large datasets. Our open-source R package dreamlet (DiseaseNeurogenomics.… Show more

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Cited by 13 publications
(2 citation statements)
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“…3A ). We then performed differential expression (DE) analysis, separately for every major lineage (CD8 + T, CD4 + T, Myeloid, NK/ILC and B cells), comparing each tissue group against the remaining five tissue groups using a pseudo-bulk linear mixed model approach that accounts for the major nuisance covariates in our data (e.g., donor ID, sex, donation site, CMV status)( Supplementary Table 5 ) 31 . The sets of genes from each tissue group that were significantly DE in three or more of the major immune lineages were then merged and hierarchically clustered, resulting in ten gene expression groups and five lineage-tissue groups ( Fig.…”
Section: Tissue Is a Major Determinant Of Immune Cell Identity And Fu...mentioning
confidence: 99%
“…3A ). We then performed differential expression (DE) analysis, separately for every major lineage (CD8 + T, CD4 + T, Myeloid, NK/ILC and B cells), comparing each tissue group against the remaining five tissue groups using a pseudo-bulk linear mixed model approach that accounts for the major nuisance covariates in our data (e.g., donor ID, sex, donation site, CMV status)( Supplementary Table 5 ) 31 . The sets of genes from each tissue group that were significantly DE in three or more of the major immune lineages were then merged and hierarchically clustered, resulting in ten gene expression groups and five lineage-tissue groups ( Fig.…”
Section: Tissue Is a Major Determinant Of Immune Cell Identity And Fu...mentioning
confidence: 99%
“…P-values were adjusted for multiple testing using FDR. In parallel, we also performed differential expression analysis using a pseudobulked generalized linear mixed model (DREAMLET 69 ), accounting for random patient and fixed tumor site effects, and performed gene set enrichment analysis (GSEA) with the same set of pathways.…”
Section: Differential Gene and Pathway Activitymentioning
confidence: 99%