Spatially Variable Gene Detection

Spatially Variable Gene Detection is a computational method that identifies genes exhibiting significant spatial expression heterogeneity across tissue locations, distinguished from general differential expression analysis by explicitly modeling spatial coordinates to detect location-dependent transcriptional activity.

36

Publications

3.4K

Citations

142

Authors

71

Institutions

Publications per year

2017–2026

35

Authors

142

  1. AS
    Arkajyoti Saha

    Johns Hopkins University, United States

    2 publications · 145 citations

    2

    h-index

  2. XZ
    Xiang Zhou

    University of Michigan, United States

    2 publications · 301 citations

    2

    h-index

  3. WF
    Wanwan Feng

    Shanghai Institute of Nutrition and Health, China

    2 publications · 79 citations

    2

    h-index

  4. CJ
    Callum J. Sargeant

    Walter and Eliza Hall Institute of Medical Research, Australia

    1 publications · 12 citations

    2

    h-index

  5. OS
    Oliver Stegle

    European Bioinformatics Institute, United Kingdom

    2 publications · 861 citations

    2

    h-index

1–5 of 142

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 9 publications · 198 citations

    9

    h-index

  2. Bioinformatics

    5 publications · 301 citations

    6

    h-index

  3. Nature Communications

    5 publications · 297 citations

    6

    h-index

  4. Genome biology

    3 publications · 397 citations

    4

    h-index

  5. Nature Methods

    2 publications · 1.9K citations

    2

    h-index

1–5