Perturbation-based Network Inference
Perturbation-Based Network Inference is a network inference methodology that identifies regulatory interactions by analyzing system-wide responses to targeted perturbations, distinguishing itself from correlation-based or observational methods through its reliance on directed, intervention-induced changes in network dynamics.
17
Publications
1.2K
Citations
76
Authors
49
Institutions
Publications per year
2017–2026
10
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Elucidating Compound Mechanism of Action by Network Perturbation Analysis
Jung Hoon Woo, Yishai Shimoni, Wan Seok Yang et al. · Cell · 2015 · 353 citations · Full text
1–5 of 17
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Rutgers, The State University of New Jersey, United States
2 publications · 118 citations
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1–5 of 76
49
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
4 publications
300 citations
Science for Life Laboratory
Stockholm, Sweden
2 h-index
10 publications
170 citations

Uppsala University
Uppsala, Sweden
2 h-index
3 publications
51 citations

Stockholm University
Stockholm, Sweden
2 h-index
7 publications
119 citations
Center for Systems Biology
Boston, United States
2 h-index
3 publications
92 citations
University of Washington
Seattle, United States
2 h-index
4 publications
638 citations
National Cheng Kung University
Tainan City, Taiwan
2 h-index
2 publications
34 citations

University of Messina
Messina, Italy
1 h-index
1 publications
66 citations
1–8 of 49
2 publications · 34 citations
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1 publications · 23 citations
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ECR · 1 publications · 66 citations
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1 publications · 21 citations
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1 publications · 28 citations
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