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Article

Efficient differential expression analysis of large-scale single cell transcriptomics data using dreamlet

2023-03-20

Abstract excerpt

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...

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Literature Corpus work
eee83bbe-473a-5094-b363-0394a50148eb
DOI
10.1101/2023.03.17.533005
Open publication

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Efficient differential expression analysis of large-scale single cell transcriptomics data using dreamletDOI 10.1101/2023.03.17.533005
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