Causal Network Reconstruction
Causal Network Reconstruction is a computational method that infers directed networks of causal relationships among variables from multi-omics data, distinguishing itself from associative or correlative network inference by explicitly modeling cause-effect dependencies grounded in causal principles.
77
Publications
5.1K
Citations
314
Authors
188
Institutions
Publications per year
2017–2026
38
Parents
77
1–5 of 77
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Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany
3 publications · 843 citations
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2
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2
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2
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2
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1–5 of 314
188
University of Washington
Seattle, United States
4 h-index
15 publications
931 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
17 publications
921 citations
Fudan University
Shanghai, China
3 h-index
5 publications
102 citations

Sorbonne Université
Paris, France
3 h-index
15 publications
570 citations

Karolinska Institutet
Stockholm, Sweden
3 h-index
14 publications
452 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
11 publications
420 citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
93 citations
Duke University
Durham, United States
2 h-index
2 publications
796 citations
1–8 of 188
3 publications · 736 citations
3
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Repository · 3 publications · 54 citations
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3 publications · 477 citations
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3 publications · 92 citations
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2 publications · 241 citations
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