Single-cell Differential Expression
Single-Cell Differential Expression is a computational method in transcriptomics that identifies statistically significant differences in gene expression levels at the resolution of individual cells, distinguished from bulk-level approaches by its ability to detect heterogeneous expression patterns across cell populations.
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22.8K
Citations
1.3K
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475
Institutions
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2017–2026
162
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Single-cell mRNA quantification and differential analysis with Census
Xiaojie Qiu, Andrew J. Hill, Jonathan S. Packer et al. · Nature Methods · 2017 · 2.1K citations
Confronting false discoveries in single-cell differential expression
Jordan W. Squair, Matthieu Gautier, Claudia Kathe et al. · Nature Communications · 2021 · 987 citations · Full text
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Harvard University
Cambridge, United States
13 h-index
47 publications
7.5K citations
University of California, Berkeley
Berkeley, United States
12 h-index
36 publications
4.1K citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
9 h-index
27 publications
4.8K citations
University of Cambridge
Cambridge, United Kingdom
8 h-index
14 publications
1.7K citations
University of Zurich
Zurich, Switzerland
8 h-index
24 publications
4.4K citations

Howard Hughes Medical Institute
Chevy Chase, United States
7 h-index
17 publications
1.1K citations

Broad Institute
Cambridge, United States
7 h-index
22 publications
714 citations
California Institute of Technology
Pasadena, United States
7 h-index
19 publications
645 citations
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Repository · 28 publications · 857 citations
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