Dynamic Multi-omics Modeling
Dynamic Multi-Omics Modeling is a computational framework that integrates time-resolved multi-omics data to infer temporal interactions and regulatory dynamics across biological layers, distinguishing itself from static or single-omics approaches by explicitly capturing the evolving molecular states in biological systems over time.
6
Publications
1.2K
Citations
83
Authors
45
Institutions
Publications per year
2017–2026
5
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Omics-Driven Systems Interrogation of Metabolic Dysregulation in COVID-19 Pathogenesis
Jin‐Wen Song, Sin Man Lam, Xing Fan et al. · Cell Metabolism · 2020 · 535 citations · Full text
Methods for the integration of multi-omics data: mathematical aspects
Matteo Bersanelli, Ettore Mosca, Daniel Remondini et al. · BMC Bioinformatics · 2016 · 454 citations · Full text
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Chinese Academy of Sciences
Beijing, China
2 h-index
10 publications
3.4K citations
Wuhan Institute of Physics and Mathematics
Wuhan, China
1 h-index
4 publications
208 citations

Chinese PLA General Hospital
Beijing, China
1 h-index
1 publications
535 citations

Karolinska Institutet
Stockholm, Sweden
1 h-index
4 publications
132 citations

Imperial College London
London, United Kingdom
1 h-index
6 publications
198 citations
University of California, Irvine
Irvine, United States
1 h-index
3 publications
99 citations
Santé et Services des Ecosytèmes Polynésiens
Faaa, French Polynesia
1 h-index
1 publications
25 citations

University of Crete
Rethymno, Greece
1 h-index
2 publications
66 citations
1–8 of 45
1 publications · 454 citations
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1 publications · 33 citations
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1 publications · 25 citations
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1 publications · 61 citations
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1 publications · 535 citations
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