Single-cell Omics Integration
Single-Cell Omics Integration is a computational framework that combines multiple types of omics data at the individual cell level to reconstruct comprehensive molecular profiles, distinguished from bulk-level integration methods by its resolution of cellular heterogeneity and capture of cell-specific regulatory dynamics.
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21.4K
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1K
Authors
301
Institutions
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2017–2026
82
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89
Fast, sensitive and accurate integration of single-cell data with Harmony
Ilya Korsunsky, Nghia Millard, Jean Fan et al. · Nature Methods · 2019 · 10.5K citations · Full text
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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Chinese Academy of Sciences
Beijing, China
8 h-index
22 publications
1.6K citations
Harvard University
Cambridge, United States
7 h-index
52 publications
107.1K citations

Broad Institute
Cambridge, United States
6 h-index
48 publications
82.2K citations
University of Michigan
Ann Arbor, United States
6 h-index
14 publications
1.5K citations
Memorial Sloan Kettering Cancer Center
New York, United States
5 h-index
8 publications
365 citations

Karolinska Institutet
Stockholm, Sweden
5 h-index
9 publications
511 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
14 publications
965 citations

Sun Yat-sen University
Guangzhou, China
4 h-index
23 publications
1.9K citations
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10 publications · 526 citations
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Repository · 9 publications · 233 citations
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8 publications · 425 citations
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