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.
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1.6K
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17
Authors
13
Institutions
Publications per year
2017–2026
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Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity
Joshua D. Welch, Velina Kozareva, Ashley N. Ferreira et al. · Cell · 2019 · 1.4K citations · Full text
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Centre de Recherches en Cancérologie de Toulouse
Toulouse, France
1 h-index
6 publications
120 citations

Broad Institute
Cambridge, United States
1 h-index
5 publications
6.8K citations
Institut universitaire du cancer de Toulouse Oncopole
Toulouse, France
1 h-index
6 publications
120 citations
University of Kentucky
Lexington, United States
1 h-index
2 publications
418 citations
Stanley Center for Psychiatric Research
Cambridge, United States
1 h-index
5 publications
6.8K citations
BioLegend (United States)
San Diego, United States
1 h-index
3 publications
60 citations

Institut National des Sciences Appliquées de Toulouse
Toulouse, France
1 h-index
1 publications
20 citations
Inserm
Paris, France
1 h-index
6 publications
120 citations
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1 publications · 20 citations
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1 publications · 1.4K citations
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1 publications · 209 citations
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1 publications · 13 citations
Repository · 1 publications · 13 citations
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