Single-cell Multi-omics Visualization

Single-Cell Multi-Omics Visualization is a computational visualization approach that integrates and graphically represents multiple molecular data types—such as genomics, transcriptomics, epigenomics, and proteomics—at the resolution of individual cells to reveal heterogeneity and regulatory relationships within complex biological systems.

3

Publications

1.6K

Citations

17

Authors

13

Institutions

Publications per year

2017–2026

3

Authors

17

  1. LA
    Lakshay Anand

    University of Kentucky, United States

    1 publications · 209 citations

    1

    h-index

  2. MT
    Marie Tosolini

    Inserm, France

    1 publications · 20 citations

    1

    h-index

  3. PN
    Pierre Neuvial

    Centre National de la Recherche Scientifique, France

    1 publications · 20 citations

    1

    h-index

  4. MA
    Maha Ayyoub

    Inserm, France

    1 publications · 20 citations

    1

    h-index

  5. AN
    Ashley N. Ferreira

    Harvard University, United States

    1 publications · 1.4K citations

    1

    h-index

1–5 of 17

Venues

  1. NAR Genomics and Bioinformatics

    1 publications · 20 citations

    1

    h-index

  2. Cell

    1 publications · 1.4K citations

    1

    h-index

  3. BMC Bioinformatics

    1 publications · 209 citations

    1

    h-index

  4. Bioinformatics

    1 publications · 13 citations

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 13 citations

1–5