Single-cell Reference Mapping
Single-Cell Reference Mapping is a computational framework that distinguishes itself by enabling the precise alignment of sparse single-cell epigenomic profiles to a comprehensive reference atlas of cell types through integrative analysis of chromatin accessibility, gene expression, and regulatory context at single-cell resolution.
24
Publications
2.8K
Citations
237
Authors
110
Institutions
Publications per year
2017–2026
23
24
Mapping single-cell data to reference atlases by transfer learning
Mohammad Lotfollahi, Mohsen Naghipourfar, Malte D. Luecken et al. · Nature Biotechnology · 2021 · 628 citations · Full text
Efficient and precise single-cell reference atlas mapping with Symphony
Joyce B. Kang, Aparna Nathan, Kathryn Weinand et al. · Nature Communications · 2021 · 250 citations · Full text
Sergio Triana, Dominik Vonficht, Lea Jopp‐Saile et al. · Nature Immunology · 2021 · 204 citations · Full text
1–5 of 24
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Max Planck Institute for Evolutionary Anthropology, Germany
2 publications · 145 citations
2
h-index
1–5 of 237
110

Broad Institute
Cambridge, United States
6 h-index
61 publications
12.4K citations

Wellcome Sanger Institute
Cambridge, United Kingdom
5 h-index
24 publications
1.4K citations

Helmholtz Zentrum München
Munich, Germany
4 h-index
24 publications
5.8K citations

Brigham and Women's Hospital
Boston, United States
4 h-index
21 publications
3.4K citations
Technical University of Munich
Munich, Germany
4 h-index
14 publications
2.9K citations
University of California San Diego
San Diego, United States
4 h-index
4 publications
409 citations
Harvard University
Cambridge, United States
4 h-index
24 publications
4.1K citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
12 publications
644 citations
1–8 of 110
Repository · 7 publications · 401 citations
7
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4 publications · 541 citations
4
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2 publications · 145 citations
2
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2 publications · 291 citations
2
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1 publications · 54 citations
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