Single-cell Transcriptome Integration
Single-Cell Transcriptome Integration is a computational framework that harmonizes gene expression profiles across individual cells from disparate single-cell RNA sequencing datasets or modalities to enable joint analysis while preserving biological heterogeneity and mitigating technical variation.
53
Publications
3.9K
Citations
575
Authors
211
Institutions
Publications per year
2017–2026
53
Parents
53
Integrative analyses of single-cell transcriptome and regulome using MAESTRO
Chenfei Wang, Dongqing Sun, Xin Huang et al. · Genome biology · 2020 · 217 citations · Full text
scJoint integrates atlas-scale single-cell RNA-seq and ATAC-seq data with transfer learning
Yingxin Lin, Tung-Yu Wu, Sheng Wan et al. · Nature Biotechnology · 2022 · 172 citations · Full text
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211

Chinese Academy of Medical Sciences & Peking Union Medical College
Beijing, China
4 h-index
10 publications
610 citations
The University of Tokyo
Tokyo, Japan
4 h-index
53 publications
6.1K citations
Stanford University
Stanford, United States
4 h-index
11 publications
1.3K citations
Harvard University
Cambridge, United States
3 h-index
10 publications
2.1K citations

Peking University
Beijing, China
3 h-index
11 publications
344 citations

The University of Sydney
Sydney, Australia
2 h-index
7 publications
760 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
18 publications
990 citations

University of Turku
Turku, Finland
2 h-index
4 publications
348 citations
1–8 of 211
6 publications · 507 citations
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4 publications · 181 citations
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Repository · 3 publications · 145 citations
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3 publications · 82 citations
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JTM · 2 publications · 65 citations
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