Article

iDESC: Identifying differential expression in single-cell RNA sequencing data with multiple subjects

2022-02-10

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) enables assessment of transcriptome-wide changes at single-cell resolution. However, dominant subject effect in scRNA-seq datasets with multiple subjects severely confounds cell-type-specific differential expression (DE) analysis. We developed iDESC to separate subject effect from disease effect with consideration of dropouts to identify DE genes. iDESC was shown to have well...

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Literature Corpus work: 34a26308-e186-5787-a47a-c0ba9bc09987
DOI: 10.1101/2022.02.07.479293

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