Disease Subnetwork Analysis
Disease Subnetwork Analysis is a computational method that identifies and characterizes functionally coherent, disease-relevant modules within larger biological networks by integrating molecular interaction data with disease-associated genetic or phenotypic information.
126
Publications
6.4K
Citations
658
Authors
306
Institutions
Publications per year
2017–2026
56
Parents
126
Assessment of network module identification across complex diseases
Sarvenaz Choobdar, Mehmet Eren Ahsen, Jake Crawford et al. · Nature Methods · 2019 · 330 citations · Full text
A Markov random field model for network-based analysis of genomic data
Zhi Wei, Hongzhe Li · Bioinformatics · 2007 · 257 citations · Full text
1–5 of 126
658
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h-index
Nanjing University of Aeronautics and Astronautics, China
3 publications · 114 citations
3
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3
h-index
3
h-index
3
h-index
1–5 of 658
306

Icahn School of Medicine at Mount Sinai
New York, United States
7 h-index
34 publications
2.3K citations
Harvard University
Cambridge, United States
7 h-index
20 publications
2.2K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
16 publications
928 citations

Imperial College London
London, United Kingdom
5 h-index
13 publications
632 citations

Brigham and Women's Hospital
Boston, United States
4 h-index
17 publications
1.6K citations

University of Minnesota
Minneapolis, United States
4 h-index
7 publications
765 citations
Inserm
Paris, France
4 h-index
21 publications
464 citations
Northeastern University
Boston, United States
4 h-index
12 publications
1.3K citations
1–8 of 306
17 publications · 1.7K citations
15
h-index
9 publications · 406 citations
9
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6 publications · 361 citations
6
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5 publications · 303 citations
5
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4 publications · 113 citations
4
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1–5