Annotation Clustering

Annotation Clustering is a visualization technique that groups spatially or semantically related annotations to reduce visual clutter and enhance interpretability by preserving meaningful relationships among annotated elements.

5

Publications

181

Citations

45

Authors

21

Institutions

Publications per year

2017–2026

0

Authors

45

  1. FS
    Fred Sinowatz

    Ludwig-Maximilians-Universität München, Germany

    1 publications · 56 citations

    1

    h-index

  2. HZ
    Holm Zerbe

    Ludwig-Maximilians-Universität München, Germany

    1 publications · 56 citations

    1

    h-index

  3. PS
    Peter Schulz‐Knappe

    PXBioVisioN (Germany), Germany

    1 publications · 38 citations

    1

    h-index

  4. DS
    Dominik Streyl

    Ludwig-Maximilians-Universität München, Germany

    1 publications · 56 citations

    1

    h-index

  5. NH
    Nadja Herbach

    Ludwig-Maximilians-Universität München, Germany

    1 publications · 56 citations

    1

    h-index

1–5 of 45

Venues

  1. The Prostate

    1 publications · 38 citations

    1

    h-index

  2. PLoS ONE

    1 publications · 11 citations

    1

    h-index

  3. Reproduction

    1 publications · 56 citations

    1

    h-index

  4. Bioinformatics

    1 publications · 63 citations

    1

    h-index

1–4