Data-driven Pathway Reconstruction
Data-Driven Pathway Reconstruction is a computational systems biology approach that reconstructs biological pathways by integrating and analyzing high-throughput experimental data to infer molecular interactions and functional relationships, distinguished from knowledge-based or model-driven methods by its reliance on empirical data as the primary source for pathway inference.
27
Publications
4.3K
Citations
135
Authors
64
Institutions
Publications per year
2017–2026
7
Parents
27
From genomics to chemical genomics: new developments in KEGG
Minoru Kanehisa · Nucleic Acids Research · 2005 · 3.2K citations · Full text
Automatic pathway building in biological association networks
Anton Yuryev, Zufar Mulyukov, Ekaterina Kotelnikova et al. · BMC Bioinformatics · 2006 · 99 citations · Full text
1–5 of 27
135
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Salk Institute for Biological Studies, United States
2 publications · 200 citations
2
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2
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2
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1–5 of 135
64
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
9 publications
704 citations
Stanford University
Stanford, United States
2 h-index
4 publications
196 citations

Kyoto University
Kyoto, Japan
2 h-index
7 publications
3.5K citations
Tokyo University of Science
Tokyo, Japan
2 h-index
7 publications
3.3K citations
Microsoft Research New England (United States)
Cambridge, United States
1 h-index
2 publications
252 citations
Oak Ridge Associated Universities
Oak Ridge, United States
1 h-index
1 publications
77 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
2 publications
24 citations
Microsoft (United States)
Redmond, United States
1 h-index
2 publications
252 citations
1–8 of 64
4 publications · 192 citations
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Repository · 4 publications · 142 citations
4
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3 publications · 3.4K citations
3
h-index
2 publications · 60 citations
2
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2 publications · 120 citations
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1–5