Single-cell Multi-omics Interpretation
Single-Cell Multi-Omics Interpretation is a computational framework that integrates and analyzes multiple molecular profiling layers—such as genomics, transcriptomics, epigenomics, and proteomics—at the resolution of individual cells to reconstruct cellular heterogeneity, regulatory dynamics, and functional states within complex biological systems.
28
Publications
6.7K
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517
Authors
138
Institutions
Publications per year
2017–2026
28
Parents
28
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
Joint probabilistic modeling of single-cell multi-omic data with totalVI
Adam Gayoso, Zoë Steier, Romain Lopez et al. · Nature Methods · 2021 · 606 citations · Full text
Multi-omics profiling of mouse gastrulation at single-cell resolution
Ricard Argelaguet, Stephen J. Clark, Hisham Mohammed et al. · Nature · 2019 · 516 citations · Full text
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Broad Institute
Cambridge, United States
6 h-index
31 publications
9.2K citations
Harvard University
Cambridge, United States
5 h-index
30 publications
2.6K citations
Stanford University
Stanford, United States
4 h-index
11 publications
886 citations

Boston Children's Hospital
Boston, United States
3 h-index
10 publications
655 citations
Dana-Farber Cancer Institute
Boston, United States
3 h-index
15 publications
681 citations

Bio-Rad (United States)
Hercules, United States
2 h-index
8 publications
1K citations
University of Pennsylvania
Philadelphia, United States
2 h-index
3 publications
364 citations

Imperial College London
London, United Kingdom
2 h-index
2 publications
139 citations
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5 publications · 313 citations
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3 publications · 162 citations
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3 publications · 1.8K citations
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2 publications · 1.1K citations
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Repository · 2 publications · 37 citations
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