Causal Network Inference
Causal Network Inference is a computational framework within network inference that specifically identifies directed regulatory relationships among variables by distinguishing direct causal interactions from mere correlations through the application of probabilistic, interventional, or temporal modeling principles.
364
Publications
33.3K
Citations
1.4K
Authors
663
Institutions
Publications per year
2017–2026
176
364
Causal analysis approaches in Ingenuity Pathway Analysis
A. Krämer, Jeff Green, Jack Pollard et al. · Bioinformatics · 2013 · 6.1K citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
10 h-index
37 publications
1.4K citations
Tsinghua University
Beijing, China
10 h-index
22 publications
2.4K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
22 publications
988 citations
University of Pittsburgh
Pittsburgh, United States
9 h-index
17 publications
1.1K citations

University of Minnesota
Minneapolis, United States
9 h-index
22 publications
997 citations
Inserm
Paris, France
8 h-index
35 publications
1.4K citations
University of Wisconsin–Madison
Madison, United States
8 h-index
22 publications
1.7K citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
10 publications
3K citations
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17 publications · 7.7K citations
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16 publications · 454 citations
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Repository · 11 publications · 364 citations
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6 publications · 265 citations
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6 publications · 587 citations
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