Single-cell Co-expression Analysis
Single-Cell Co-Expression Analysis is a computational method that identifies and quantifies coordinated gene expression patterns at the resolution of individual cells, distinguishing it from bulk-level approaches by capturing cell-specific regulatory interactions within heterogeneous tissues.
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Liang He, José Dávila-Velderrain, Tomokazu S. Sumida et al. · Communications Biology · 2021 · 184 citations · Full text
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Harvard University
Cambridge, United States
5 h-index
22 publications
2.2K citations
Stanford University
Stanford, United States
4 h-index
15 publications
946 citations

Uppsala University
Uppsala, Sweden
4 h-index
14 publications
900 citations

Karolinska Institutet
Stockholm, Sweden
3 h-index
11 publications
714 citations
Cold Spring Harbor Laboratory
Cold Spring Harbor, United States
3 h-index
12 publications
781 citations

Broad Institute
Cambridge, United States
3 h-index
4 publications
399 citations

Howard Hughes Medical Institute
Chevy Chase, United States
3 h-index
7 publications
150 citations
University of California, San Francisco
San Francisco, United States
3 h-index
8 publications
378 citations
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Repository · 8 publications · 286 citations
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3 publications · 281 citations
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