Single-cell Data Harmonization
Single-Cell Data Harmonization is a computational framework designed to integrate and remove technical variability across single-cell omics datasets while preserving biological heterogeneity, enabling consistent comparative analysis across diverse experimental conditions or batches.
54
Publications
22.6K
Citations
714
Authors
170
Institutions
Publications per year
2017–2026
50
54
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
xCell: digitally portraying the tissue cellular heterogeneity landscape
Dvir Aran, Zicheng Hu, Atul J. Butte · Genome biology · 2017 · 4.7K citations · Full text
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170

Broad Institute
Cambridge, United States
8 h-index
37 publications
79.6K citations

Wellcome Sanger Institute
Cambridge, United Kingdom
7 h-index
33 publications
6.1K citations
Harvard University
Cambridge, United States
6 h-index
36 publications
114.2K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
12 publications
763 citations
Stanford University
Stanford, United States
5 h-index
37 publications
7.4K citations
Heidelberg University
Heidelberg, Germany
4 h-index
23 publications
8.5K citations
Charité - Universitätsmedizin Berlin
Berlin, Germany
4 h-index
5 publications
239 citations
RWTH Aachen University
Aachen, Germany
4 h-index
8 publications
2.7K citations
1–8 of 170
Repository · 11 publications · 1.8K citations
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10 publications · 1.2K citations
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3 publications · 10.7K citations
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3 publications · 825 citations
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2 publications · 52 citations
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