Spatial Transcriptome Reconstruction

Spatial Transcriptome Reconstruction is a computational method that infers the spatial organization of gene expression within a tissue section by integrating dissociated transcriptomic data with spatial reference information, thereby enabling the reconstruction of genome-wide expression patterns at cellular or subcellular resolution.

66

Publications

25.1K

Citations

715

Authors

245

Institutions

Publications per year

2017–2026

58

Authors

715

  1. JL
    Joakim Lundeberg

    KTH Royal Institute of Technology, Sweden

    7 publications · 7K citations

    7

    h-index

  2. XX
    Xun Xu

    BGI Group (China), China

    7 publications · 756 citations

    7

    h-index

  3. JF
    José Fernández Navarro

    KTH Royal Institute of Technology, Sweden

    5 publications · 6.5K citations

    5

    h-index

  4. AC
    Ao Chen

    BGI Group (China), China

    5 publications · 563 citations

    5

    h-index

  5. PL
    Patrik L. Ståhl

    KTH Royal Institute of Technology, Sweden

    4 publications · 5.5K citations

    4

    h-index

1–5 of 715

Venues

  1. Nature Biotechnology

    8 publications · 11.2K citations

    8

    h-index

  2. Nature Communications

    4 publications · 343 citations

    4

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 165 citations

    4

    h-index

  4. Nature Methods

    6 publications · 1.7K citations

    4

    h-index

  5. Cell

    3 publications · 2.2K citations

    3

    h-index

1–5