Spatial Co-expression Analysis
Spatial Co-Expression Analysis is a gene co-expression analysis method that integrates spatial transcriptomic data to identify and quantify the coordinated expression of genes within specific tissue architectures, distinguishing it from conventional co-expression approaches by explicitly preserving and leveraging the spatial localization of gene expression.
44
Publications
2.8K
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199
Authors
93
Institutions
Publications per year
2017–2026
25
Parents
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Advances in spatial transcriptomics and its applications in cancer research
Yuanli Zuo, Gang Li, Wenrong Liu et al. · Molecular Cancer · 2024 · 143 citations · Full text
Medicine, Cancer Biology, Oncology +17
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Johns Hopkins University
Baltimore, United States
4 h-index
12 publications
201 citations
Yale University
New Haven, United States
4 h-index
46 publications
6.1K citations
Yale Cancer Center
New Haven, United States
3 h-index
18 publications
2.4K citations
University of Southern California
Los Angeles, United States
2 h-index
3 publications
193 citations
Allen Institute
Seattle, United States
2 h-index
2 publications
39 citations

Hong Kong Science and Technology Parks Corporation
Shatin, Hong Kong
2 h-index
4 publications
232 citations
University of Copenhagen
Copenhagen, Denmark
2 h-index
5 publications
170 citations

Allen Institute for Brain Science
Seattle, United States
2 h-index
2 publications
39 citations
1–8 of 93
Repository · 5 publications · 69 citations
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3 publications · 141 citations
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4 publications · 204 citations
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3 publications · 62 citations
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2 publications · 74 citations
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