Cross-modal Data Integration
Cross-Modal Data Integration is a computational framework that enables the joint analysis of distinct but related molecular omics layers—such as transcriptomic, epigenomic, and proteomic data—from the same single cells—by mapping and aligning complementary biological signals across modalities to infer coherent cellular states and regulatory interactions.
40
Publications
3.2K
Citations
184
Authors
107
Institutions
Publications per year
2017–2026
36
40
PointAugmenting: Cross-Modal Augmentation for 3D Object Detection
Chunwei Wang, Chao Ma, Ming Zhu et al. · 2021 · 449 citations
SpatialData: an open and universal data framework for spatial omics
Luca Marconato, Giovanni Palla, Kevin A. Yamauchi et al. · Nature Methods · 2024 · 186 citations · Full text
1–5 of 40
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Chan Zuckerberg Initiative (United States), United States
2 publications · 218 citations
2
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1–5 of 184
107

Chinese Academy of Sciences
Beijing, China
4 h-index
8 publications
754 citations
Technical University of Munich
Munich, Germany
3 h-index
7 publications
831 citations

Zhejiang University
Hangzhou, China
3 h-index
1 publications
109 citations

Sun Yat-sen University
Guangzhou, China
3 h-index
5 publications
205 citations
European Molecular Biology Laboratory
Heidelberg, Germany
2 h-index
12 publications
1.5K citations
German BioImaging – Gesellschaft für Mikroskopie und Bildanalyse
Konstanz, Germany
2 h-index
2 publications
218 citations
Peng Cheng Laboratory
Shenzhen, China
2 h-index
3 publications
341 citations
University of Science and Technology of China
Hefei, China
2 h-index
7 publications
218 citations
1–8 of 107
2 publications · 189 citations
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2 publications · 705 citations
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1 publications · 34 citations
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2 publications · 92 citations
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2 publications · 131 citations
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