Spatial Transcriptomics Deconvolution

Spatial Transcriptomics Deconvolution is a computational method that belongs to the class of cell-type deconvolution techniques and specifically enables the inference of cell-type proportions and their spatial distribution within tissue sections by leveraging gene expression profiles from spatially resolved transcriptomics data.

100

Publications

14K

Citations

859

Authors

329

Institutions

Publications per year

2017–2026

99

Authors

859

  1. JL
    Joakim Lundeberg

    KTH Royal Institute of Technology, Sweden

    6 publications · 2.9K citations

    6

    h-index

  2. LL
    Ludvig Larsson

    KTH Royal Institute of Technology, Sweden

    4 publications · 1.1K citations

    4

    h-index

  3. GY
    Guo‐Cheng Yuan

    Dana-Farber Cancer Institute, United States

    3 publications · 354 citations

    3

    h-index

  4. FS
    Fredrik Salmén

    Science for Life Laboratory, Sweden

    3 publications · 1.1K citations

    3

    h-index

  5. ML
    Mingyao Li

    University of Pennsylvania, United States

    3 publications · 255 citations

    3

    h-index

1–5 of 859

Venues

  1. Nature Communications

    22 publications · 3.7K citations

    22

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 13 publications · 284 citations

    11

    h-index

  3. Nature Biotechnology

    6 publications · 3.3K citations

    6

    h-index

  4. Nature Methods

    5 publications · 597 citations

    5

    h-index

  5. Bioinformatics

    4 publications · 187 citations

    4

    h-index

1–5