Image Registration For Transcriptomics

Image Registration for Transcriptomics is a computational method that aligns spatially resolved transcriptomic data to a common coordinate system by leveraging morphological or molecular landmark correspondences, thereby enabling precise integration of gene expression profiles with histological features across multiple tissue sections or imaging modalities.

12

Publications

327

Citations

67

Authors

38

Institutions

Publications per year

2017–2026

5

Authors

67

  1. EM
    Ekaterina Myasnikova

    Peter the Great St. Petersburg Polytechnic University, Russia

    2 publications · 56 citations

    2

    h-index

  2. UO
    Uwe Ohler

    Max Delbrück Center, Germany

    2 publications · 55 citations

    2

    h-index

  3. DM
    Daniel Mace

    Duke University, United States

    2 publications · 55 citations

    2

    h-index

  4. JR
    John Reinitz

    Stony Brook University, United States

    2 publications · 56 citations

    2

    h-index

  5. JL
    Ji‐Young Lee

    Seoul National University, South Korea

    1 publications · 22 citations

    1

    h-index

1–5 of 67

Venues

  1. Bioinformatics

    3 publications · 86 citations

    3

    h-index

  2. PubMed

    Repository · 2 publications · 56 citations

    2

    h-index

  3. Journal of Scientific Computing

    1 publications · 21 citations

    1

    h-index

  4. Frontiers in Neuroinformatics

    1 publications · 23 citations

    1

    h-index

  5. Cells

    1 publications · 24 citations

    1

    h-index

1–5