Multi-omics Correlation Analysis
Multi-Omics Correlation Analysis is a computational methodological framework that identifies and quantifies statistical associations across multiple biological omics layers—such as genomics, transcriptomics, and proteomics—to uncover coordinated molecular variations underlying complex biological processes.
157
Publications
7.7K
Citations
1.2K
Authors
490
Institutions
Publications per year
2017–2026
143
157
Multilevel proteomics reveals host perturbations by SARS-CoV-2 and SARS-CoV
Alexey Stukalov, Virginie Girault, Vincent Grass et al. · Nature · 2021 · 735 citations · Full text
Visualising associations between paired ‘omics’ data sets
Ignacio González, Kim‐Anh Lê Cao, Melissa J. Davis et al. · BioData Mining · 2012 · 325 citations · Full text
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490
Technical University of Munich
Munich, Germany
9 h-index
49 publications
17.4K citations

Sichuan University
Chengdu, China
7 h-index
14 publications
462 citations
University of Chinese Academy of Sciences
Beijing, China
7 h-index
41 publications
1.4K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
60 publications
1.6K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
12 publications
2.2K citations

Shanghai Jiao Tong University
Shanghai, China
6 h-index
8 publications
215 citations
Harvard University
Cambridge, United States
4 h-index
3 publications
130 citations

Chinese Academy of Medical Sciences & Peking Union Medical College
Beijing, China
4 h-index
38 publications
2K citations
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5 publications · 199 citations
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JTM · 5 publications · 172 citations
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3 publications · 91 citations
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4 publications · 1K citations
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3 publications · 686 citations
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