Motif Classification
Motif Classification is a method in network science that distinguishes recurring, statistically significant subgraph patterns within complex networks by categorizing them according to their structural and functional roles.
67
Publications
10.1K
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213
Authors
123
Institutions
Publications per year
2017–2026
19
Parents
67
Network Motifs: Simple Building Blocks of Complex Networks
Ron Milo, Shai S. Shen-Orr, Shalev Itzkovitz et al. · Science · 2002 · 7.5K citations
Biological network motif detection: principles and practice
Emily Wong, Brittany Baur, Sabina Quader et al. · Briefings in Bioinformatics · 2011 · 189 citations · Full text
The Construction of a Bioactive Peptide Database in Metazoa
Feng Liu, Geert Baggerman, Liliane Schoofs et al. · Journal of Proteome Research · 2008 · 94 citations
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123

Centre National de la Recherche Scientifique
Paris, France
3 h-index
4 publications
183 citations
University College Dublin
Dublin, Ireland
2 h-index
7 publications
122 citations
University of Connecticut
Storrs, United States
2 h-index
7 publications
839 citations
New York University
New York, United States
2 h-index
2 publications
34 citations
University of Catania
Catania, Italy
2 h-index
10 publications
170 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
5 publications
112 citations

Universidade do Porto
Porto, Portugal
2 h-index
7 publications
251 citations
Courant Institute of Mathematical Sciences
New York, United States
2 h-index
2 publications
34 citations
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3 publications · 85 citations
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Repository · 3 publications · 125 citations
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2 publications · 53 citations
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2 publications · 56 citations
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2 publications · 257 citations
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