Regulatory Network Inference
Regulatory Network Inference is a computational and statistical methodology in systems biology that reconstructs the structure and, often, the directionality and strength of interactions in gene or cellular regulatory networks from high-dimensional molecular measurements such as bulk or single-cell transcriptomic and epigenomic data.
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1.6K
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Publications per year
2017–2026
534
Variants
Gene Regulatory Network InferenceGrn Inference
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SCENIC: single-cell regulatory network inference and clustering
Sara Aibar, Carmen Bravo González‐Blas, Thomas Moerman et al. · Nature Methods · 2017 · 6.9K citations · Full text
Causal analysis approaches in Ingenuity Pathway Analysis
A. Krämer, Jeff Green, Jack Pollard et al. · Bioinformatics · 2013 · 6.1K citations · Full text
Inferring Regulatory Networks from Expression Data Using Tree-Based Methods
Vân Anh Huynh‐Thu, Alexandre Irrthum, Louis Wehenkel et al. · PLoS ONE · 2010 · 2.3K citations · Full text
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Harvard University
Cambridge, United States
29 h-index
201 publications
19.6K citations
The University of Tokyo
Tokyo, Japan
27 h-index
98 publications
6.9K citations

Centre National de la Recherche Scientifique
Paris, France
26 h-index
119 publications
5.2K citations
Massachusetts Institute of Technology
Cambridge, United States
23 h-index
86 publications
14K citations
University of Cambridge
Cambridge, United Kingdom
23 h-index
100 publications
10.1K citations
Stanford University
Stanford, United States
22 h-index
64 publications
11.2K citations
New York University
New York, United States
21 h-index
107 publications
9.7K citations
Texas A&M University
College Station, United States
21 h-index
86 publications
4.6K citations
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210 publications · 22.2K citations
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112 publications · 8.3K citations
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69 publications · 4.8K citations
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89 publications · 5.7K citations
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57 publications · 4.2K citations
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