Graph-theoretic Pathway Modeling
Graph-Theoretic Pathway Modeling is a computational framework that represents biological pathways as directed graphs, where nodes denote molecular entities and edges represent biochemical interactions, enabling the systematic analysis of pathway structure, connectivity, and functional flow through graph-theoretical principles.
39
Publications
2.5K
Citations
150
Authors
95
Institutions
Publications per year
2017–2026
13
Parents
39
Comparison of network-based pathway analysis methods
Jason A. Papin, Joerg Stelling, Nathan D. Price et al. · Trends in biotechnology · 2004 · 368 citations
Probabilistic model checking of complex biological pathways
John K. Heath, Marta Kwiatkowska, Gethin Norman et al. · Theoretical Computer Science · 2007 · 241 citations
graphite - a Bioconductor package to convert pathway topology to gene network
Gabriele Sales, Enrica Calura, Duccio Cavalieri et al. · BMC Bioinformatics · 2012 · 216 citations · Full text
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Max Planck Institute for Dynamics of Complex Technical Systems, Germany
2 publications · 611 citations
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95
Center for Systems Biology
Boston, United States
3 h-index
3 publications
94 citations
Virginia Tech
Blacksburg, United States
3 h-index
8 publications
248 citations
Max Planck Institute for Dynamics of Complex Technical Systems
Magdeburg, Germany
2 h-index
4 publications
1.2K citations
Harvard University
Cambridge, United States
2 h-index
2 publications
82 citations

University of Padua
Padua, Italy
2 h-index
8 publications
1.3K citations
Max Planck Society
Munich, Germany
2 h-index
4 publications
1.2K citations
University of Oxford
Oxford, United Kingdom
2 h-index
8 publications
1.4K citations
Wayne State University
Detroit, United States
2 h-index
7 publications
174 citations
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3 publications · 394 citations
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2 publications · 229 citations
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2 publications · 60 citations
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2 publications · 123 citations
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2 publications · 154 citations
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