Missing Interaction Imputation
Missing Interaction Imputation is a computational method within protein-protein interaction network analysis that infers unobserved or experimentally undetected interactions by leveraging topological, functional, or evolutionary patterns in the network to distinguish likely true interactions from missing data.
26
Publications
2.1K
Citations
90
Authors
60
Institutions
Publications per year
2017–2026
9
26
Network-based prediction of protein interactions
I. Kovács, Katja Luck, Kerstin Spirohn et al. · Nature Communications · 2019 · 441 citations · Full text
Prediction of Links and Weights in Networks by Reliable Routes
Jing Zhao, Lili Miao, Jian Yang et al. · Scientific Reports · 2015 · 118 citations · Full text
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Yale University
New Haven, United States
3 h-index
8 publications
528 citations
Institute for Solid State Physics and Optics
Budapest, Hungary
2 h-index
2 publications
524 citations

University of Victoria
Victoria, Canada
2 h-index
6 publications
123 citations
Lunenfeld-Tanenbaum Research Institute
Toronto, Canada
2 h-index
4 publications
1K citations
HUN-REN Wigner Research Centre for Physics
Budapest, Hungary
2 h-index
2 publications
524 citations
Columbia University
New York, United States
2 h-index
5 publications
642 citations

Brigham and Women's Hospital
Boston, United States
2 h-index
2 publications
524 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
181 citations
1–8 of 60
3 publications · 92 citations
3
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Repository · 2 publications · 236 citations
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2 publications · 120 citations
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1 publications · 17 citations
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1 publications · 25 citations
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