Motif Statistics
Motif Statistics is a computational method within network analysis that quantifies the significance of recurring subgraph patterns by comparing their observed frequencies to those expected under a specified null model.
55
Publications
2.2K
Citations
173
Authors
118
Institutions
Publications per year
2017–2026
15
Parents
55
Enhancer RNA profiling predicts transcription factor activity
Joseph Azofeifa, Mary A. Allen, Josephina Hendrix et al. · Genome Research · 2018 · 145 citations · Full text
Motifs emerge from function in model gene regulatory networks
Z. Burda, A. Krzywicki, Olivier Martin et al. · Proceedings of the National Academy of Sciences · 2011 · 98 citations · Full text
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Mathématiques et Informatique Appliquées du Génome à l'Environnement, France
3 publications · 137 citations
3
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1–5 of 173
118
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
8 publications
199 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
5 publications
413 citations
Max Planck Institute for Molecular Genetics
Berlin, Germany
3 h-index
4 publications
179 citations

Xi'an Jiaotong University
Xi'an, China
3 h-index
8 publications
312 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
166 citations
University of Catania
Catania, Italy
2 h-index
10 publications
170 citations

University of Georgia
Athens, United States
2 h-index
11 publications
421 citations
Université Paris Cité
Paris, France
2 h-index
4 publications
320 citations
1–8 of 118
5 publications · 161 citations
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Repository · 5 publications · 108 citations
5
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2 publications · 45 citations
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2 publications · 30 citations
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2 publications · 40 citations
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