Spatial Map Reconstruction

Spatial Map Reconstruction is a computational method that, within the context of spatial multi-omics integration, specifically generates high-resolution spatial representations of molecular profiles by inferring or restoring their two-dimensional spatial organization from partial, low-resolution, or non-spatial omics data.

47

Publications

7.1K

Citations

247

Authors

128

Institutions

Publications per year

2017–2026

21

Authors

247

  1. NR
    Nicholas R. J. Gascoigne

    Scripps Research Institute, United States

    2 publications · 173 citations

    2

    h-index

  2. HX
    Hang Xu

    Agency for Science, Technology and Research, Singapore

    2 publications · 173 citations

    2

    h-index

  3. EG
    Enrico Gratton

    University of California, Irvine, United States

    2 publications · 24 citations

    2

    h-index

  4. WW
    Wencen Wu

    Georgia Institute of Technology, United States

    2 publications · 60 citations

    2

    h-index

  5. CZ
    Chengwei Zhong

    National University of Singapore, Singapore

    2 publications · 173 citations

    2

    h-index

1–5 of 247

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 39 citations

    2

    h-index

  2. Nature Methods

    2 publications · 1.1K citations

    2

    h-index

  3. 2

    h-index

  4. 2

    h-index

  5. Physics in Medicine and Biology

    2 publications · 46 citations

    2

    h-index

1–5