Spatial Genomics Integration

Spatial Genomics Integration is a computational framework that integrates spatially resolved molecular measurements with genomic data to enable the contextual analysis of gene expression within intact tissue architectures, distinguishing it from conventional genomics integration methods by preserving spatial localization as a critical biological variable.

4

Publications

494

Citations

131

Authors

10

Institutions

Publications per year

2017–2026

4

Authors

131

  1. LN
    Lydia Ng

    Allen Institute, United States

    3 publications · 364 citations

    3

    h-index

  2. RD
    Rebecca D. Hodge

    Allen Institute for Brain Science, United States

    3 publications · 364 citations

    3

    h-index

  3. MS
    Matt Sullivan

    Chan Zuckerberg Initiative (United States), United States

    3 publications · 364 citations

    3

    h-index

  4. JN
    Julie Nyhus

    Allen Institute, United States

    3 publications · 364 citations

    3

    h-index

  5. AW
    Angela Wilson

    University of Washington, United States

    3 publications · 364 citations

    3

    h-index

1–5 of 131

Venues

  1. Science

    1 publications · 130 citations

    1

    h-index

  2. Nature Neuroscience

    1 publications · 259 citations

    1

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 40 citations

    1

    h-index

  4. Research Square

    Repository · 1 publications · 65 citations

    1

    h-index

  5. MedComm – Future Medicine

    1 publications · 20 citations

1–5