Graph-based Pathway Inference
Graph-Based Pathway Inference is a computational method that belongs to the class of pathway analysis techniques, distinguished by its use of graph-theoretical models to reconstruct or infer biological pathways from molecular interaction data based on network topology and connectivity patterns.
13
Publications
468
Citations
62
Authors
36
Institutions
Publications per year
2017–2026
2
Parents
13
Metabolic PathFinding: inferring relevant pathways in biochemical networks
Didier Croes, F. Couche, Shoshana J. Wodak et al. · Nucleic Acids Research · 2005 · 90 citations · Full text
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Rutgers, The State University of New Jersey, United States
1 publications · 58 citations
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1
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1
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1–5 of 62
36

Université Toulouse III - Paul Sabatier
Toulouse, France
1 h-index
1 publications
33 citations
Texas A&M University
College Station, United States
1 h-index
4 publications
48 citations

University of Bologna
Bologna, Italy
1 h-index
3 publications
60 citations

Nara Institute of Science and Technology
Ikoma, Japan
1 h-index
2 publications
32 citations
Computational Physics (United States)
Springfield, United States
1 h-index
1 publications
20 citations

Institut Curie
Paris, France
1 h-index
1 publications
33 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
1 publications
58 citations

Universiti Malaysia Terengganu
Kuala Terengganu, Malaysia
1 h-index
1 publications
16 citations
1–8 of 36
2 publications · 59 citations
2
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1 publications · 123 citations
1
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1 publications · 11 citations
1
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1 publications · 90 citations
1
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1 publications · 12 citations
1
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