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

Citations

199

Authors

93

Institutions

Publications per year

2017–2026

25

Authors

199

  1. HA
    Hiromitsu Asashima

    University of Tsukuba, Japan

    3 publications · 400 citations

    3

    h-index

  2. PB
    Pino Bordignon

    University of Lausanne, Switzerland

    3 publications · 400 citations

    3

    h-index

  3. SH
    Stephanie Halene

    Yale University, United States

    3 publications · 400 citations

    3

    h-index

  4. AE
    Archibald Enninful

    Yale University, United States

    3 publications · 400 citations

    3

    h-index

  5. RF
    Rong Fan

    Yale University, United States

    3 publications · 400 citations

    3

    h-index

1–5 of 199

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 69 citations

    5

    h-index

  2. Nature Communications

    3 publications · 141 citations

    5

    h-index

  3. PLoS Computational Biology

    4 publications · 204 citations

    4

    h-index

  4. Bioinformatics

    3 publications · 62 citations

    3

    h-index

  5. BMC Genomics

    2 publications · 74 citations

    2

    h-index

1–5