Biological Network Inference
Biological Network Inference is a computational method that reconstructs functional interactions among biological entities by identifying statistically supported relationships from empirical data.
760
Publications
72.1K
Citations
2.8K
Authors
996
Institutions
Publications per year
2017–2026
208
Parents
760
In silico prediction of protein-protein interactions in human macrophages
Oussema Souiai, Fatma Z. Guerfali, Slimane Ben Miled et al. · BMC Research Notes · 2014 · 11K citations · Full text
Collective Classification in Network Data
Prithviraj Sen, Galileo Namata, Mustafa Bilgic et al. · AI Magazine · 2008 · 3.3K citations · Full text
Wisdom of crowds for robust gene network inference
Daniel Marbach, James C. Costello, Robert Küffner et al. · Nature Methods · 2012 · 1.8K citations · Full text
Mixed Membership Stochastic Blockmodels.
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg et al. · PubMed · 2008 · 1.5K citations · Full text
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University of Michigan
Ann Arbor, United States
16 h-index
50 publications
3K citations
Princeton University
Princeton, United States
16 h-index
38 publications
7.6K citations

Centre National de la Recherche Scientifique
Paris, France
14 h-index
38 publications
1.7K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
51 publications
4.8K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
33 publications
6.1K citations
Carnegie Mellon University
Pittsburgh, United States
13 h-index
25 publications
2K citations

University of Warwick
Coventry, United Kingdom
13 h-index
79 publications
12.1K citations
University of Cambridge
Cambridge, United Kingdom
13 h-index
48 publications
3.5K citations
1–8 of 996
114 publications · 10.5K citations
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38 publications · 3.1K citations
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59 publications · 2.7K citations
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44 publications · 2.1K citations
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33 publications · 1.5K citations
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