Spatial Single-cell Integration

Spatial Single-Cell Integration is a computational framework that combines high-resolution spatially resolved data with single-cell omics profiles to reconstruct context-aware cellular landscapes, distinguished by its explicit incorporation of spatial coordinates to infer location-dependent molecular heterogeneity.

7

Publications

655

Citations

52

Authors

28

Institutions

Publications per year

2017–2026

6

Authors

52

  1. SB
    Sohyun Bang

    Seoul National University, South Korea

    1 publications · 95 citations

    1

    h-index

  2. BZ
    Bokai Zhu

    Stanford University, United States

    1 publications · 102 citations

    1

    h-index

  3. HW
    Hamish W. King

    Queen Mary University of London, United Kingdom

    1 publications · 94 citations

    1

    h-index

  4. MG
    Moritz Gerstung

    Wellcome Sanger Institute, United Kingdom

    1 publications · 94 citations

    1

    h-index

  5. TJ
    Tjeerd Jellema

    University of Hull, United Kingdom

    1 publications · 77 citations

    1

    h-index

1–5 of 52

Venues

  1. Nature Biotechnology

    2 publications · 251 citations

    2

    h-index

  2. Circulation Research

    1 publications · 35 citations

    1

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 94 citations

    1

    h-index

  4. Nature Genetics

    1 publications · 103 citations

    1

    h-index

  5. Cell

    1 publications · 95 citations

    1

    h-index

1–5