Single-cell Differential Expression Analysis
Single-Cell Differential Expression Analysis is a computational method in genomics that identifies statistically significant differences in gene expression levels across individual cells, enabling the discovery of cell-type-specific transcriptional dynamics within heterogeneous biological populations.
139
Publications
17.4K
Citations
757
Authors
315
Institutions
Publications per year
2017–2026
114
139
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
Atray Dixit, Oren Parnas, Biyu Li et al. · Cell · 2016 · 1.9K citations · Full text
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
11 h-index
33 publications
10.1K citations
University of California, Berkeley
Berkeley, United States
9 h-index
28 publications
3.7K citations
California Institute of Technology
Pasadena, United States
7 h-index
20 publications
679 citations

Wellcome Sanger Institute
Cambridge, United Kingdom
6 h-index
10 publications
3.4K citations
University of Cambridge
Cambridge, United Kingdom
6 h-index
10 publications
1.6K citations
Dana-Farber Cancer Institute
Boston, United States
5 h-index
31 publications
4.9K citations
University of Zurich
Zurich, Switzerland
5 h-index
15 publications
3.2K citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
5 h-index
15 publications
3.2K citations
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Repository · 25 publications · 645 citations
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11 publications · 1.1K citations
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9 publications · 836 citations
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8 publications · 2.7K citations
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6 publications · 4.8K citations
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