Graph-based Function Prediction
Graph-Based Function Prediction is a computational method that leverages the topological structure of biological networks represented as graphs to infer the biological functions of unannotated nodes based on the annotated functions of their network neighbors.
69
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5.6K
Citations
238
Authors
146
Institutions
Publications per year
2017–2026
29
69
Protein function prediction via graph kernels
Karsten Borgwardt, Cheng Soon Ong, Stefan Schönauer et al. · Computer applications in the biosciences · 2005 · 1.1K citations
GeneMANIA: Fast gene network construction and function prediction for Cytoscape
Jason Montojo, Khalid Zuberi, Harold Rodriguez et al. · F1000Research · 2014 · 282 citations · Full text
Neuro-symbolic representation learning on biological knowledge graphs
Mona Alshahrani, Omar Maddouri, Akira R. Kinjo et al. · Bioinformatics · 2017 · 151 citations · Full text
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146
New York University
New York, United States
4 h-index
9 publications
3K citations

University of Milan
Milan, Italy
4 h-index
7 publications
313 citations
Harvard University
Cambridge, United States
4 h-index
4 publications
1K citations
Jagiellonian University
Krakow, Poland
3 h-index
3 publications
1K citations
Massachusetts General Hospital
Boston, United States
3 h-index
3 publications
1K citations
University of California San Diego
San Diego, United States
3 h-index
9 publications
3.1K citations

University of Toronto
Toronto, Canada
3 h-index
9 publications
1.7K citations

Broad Institute
Cambridge, United States
3 h-index
9 publications
3.1K citations
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11 publications · 1.2K citations
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6 publications · 352 citations
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4 publications · 1K citations
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4 publications · 96 citations
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3 publications · 177 citations
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