Differential Network Analysis
Differential Network Analysis is a computational framework that identifies and quantifies structural differences between networks inferred under distinct conditions or states, enabling the detection of condition-specific interactions or regulatory changes.
165
Publications
8K
Citations
797
Authors
359
Institutions
Publications per year
2017–2026
92
Parents
165
Weighted gene coexpression network analysis strategies applied to mouse weight
Tova F Fuller, Anatole Ghazalpour, Jason E. Aten et al. · Mammalian Genome · 2007 · 394 citations · Full text
Emotion-Network Density in Major Depressive Disorder
Madeline Pe, Katharina Kircanski, Renee J. Thompson et al. · Clinical Psychological Science · 2014 · 279 citations · Full text
Network analysis of substance abuse and dependence symptoms
Mijke Rhemtulla, Eiko I. Fried, Steven H. Aggen et al. · Drug and Alcohol Dependence · 2016 · 227 citations · Full text
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359
Shandong University
Jinan, China
9 h-index
23 publications
653 citations

Shenzhen University
Shenzhen, China
9 h-index
10 publications
242 citations
Central China Normal University
Wuhan, China
9 h-index
11 publications
266 citations

City University of Hong Kong
Hong Kong, Hong Kong
8 h-index
12 publications
319 citations
Georgetown University
Washington, United States
6 h-index
31 publications
1.9K citations

Johns Hopkins University
Baltimore, United States
6 h-index
29 publications
1.9K citations
Fudan University
Shanghai, China
6 h-index
10 publications
402 citations
Virginia Tech
Blacksburg, United States
5 h-index
11 publications
326 citations
1–8 of 359
19 publications · 986 citations
18
h-index
10 publications · 255 citations
10
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7 publications · 276 citations
7
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6 publications · 366 citations
6
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5 publications · 144 citations
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