Neurogenic Segmentation

Neurogenic Segmentation is a computational framework in segmentation genetics that identifies and delineates functional neural boundaries within biological tissues by integrating gene expression profiles with spatial developmental constraints to distinguish neurogenic regions from non-neurogenic ones.

6

Publications

390

Citations

21

Authors

14

Institutions

Publications per year

2017–2026

2

Authors

21

  1. PT
    Pavel Tomančák

    Max Planck Institute of Molecular Cell Biology and Genetics, Germany

    1 publications · 37 citations

    1

    h-index

  2. HV
    Harald Vässin

    University of Cologne, Germany

    1 publications · 117 citations

    1

    h-index

  3. JD
    Jan D. Huizinga

    McMaster University, Canada

    1 publications · 27 citations

    1

    h-index

  4. US
    Ulrike Schulze

    University of Oxford, United Kingdom

    1 publications · 37 citations

    1

    h-index

  5. KB
    Kåre Bremer

    Uppsala University, Sweden

    1 publications · 117 citations

    1

    h-index

1–5 of 21

Venues

  1. Medical Image Analysis

    1 publications · 39 citations

    1

    h-index

  2. Frontiers in Neuroscience

    1 publications · 27 citations

    1

    h-index

  3. The EMBO Journal

    1 publications · 117 citations

    1

    h-index

  4. Nature Communications

    1 publications · 37 citations

    1

    h-index

  5. Transgenic Research

    1 publications · 60 citations

    1

    h-index

1–5