Interaction Network Reconstruction
Interaction Network Reconstruction is a computational method that belongs to the class of network inference techniques, distinguished by its specific aim to infer and reconstruct the structure of biological or molecular interaction networks from experimental data.
93
Publications
4.8K
Citations
372
Authors
236
Institutions
Publications per year
2017–2026
32
93
Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces
Zheng Xia, Ling‐Yun Wu, Xiaobo Zhou et al. · BMC Systems Biology · 2010 · 404 citations · Full text
Passing Messages between Biological Networks to Refine Predicted Interactions
Kimberly Glass, Curtis Huttenhower, John Quackenbush et al. · PLoS ONE · 2013 · 317 citations · Full text
Network Reconstruction Based on Evolutionary-Game Data via Compressive Sensing
Wen-Xu Wang, Ying-Cheng Lai, Celso Grebogi et al. · Physical Review X · 2011 · 162 citations · Full text
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236

Chinese Academy of Sciences
Beijing, China
4 h-index
9 publications
573 citations

Beijing Normal University
Beijing, China
3 h-index
10 publications
351 citations
Arizona State University
Tempe, United States
3 h-index
5 publications
521 citations

Pacific Northwest National Laboratory
Richland, United States
2 h-index
16 publications
186 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
2 h-index
3 publications
30 citations

University of Groningen
Groningen, The Netherlands
2 h-index
6 publications
88 citations
Technische Universität Dresden
Dresden, Germany
2 h-index
2 publications
99 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
408 citations
1–8 of 236
11 publications · 612 citations
11
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7 publications · 463 citations
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4 publications · 67 citations
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PRE · 4 publications · 70 citations
4
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4 publications · 97 citations
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