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Article

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

2023-05-02

Abstract excerpt

<title>Abstract</title> <p>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 model...

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Literature Corpus work
dd9ff145-892f-5a09-be5d-f800344e8b87
DOI
10.21203/rs.3.rs-2705625/v1
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Efficient differential expression analysis of large-scale single cell transcriptomics data using dreamletDOI 10.21203/rs.3.rs-2705625/v1
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