Module Detection
Module Detection is a computational method in gene coexpression network analysis that identifies densely interconnected groups of genes, or modules, based on their expression similarity patterns across conditions, distinguishing it from general clustering techniques by incorporating network topology and biological coherence as criteria for module identification.
353
Publications
52.2K
Citations
1.4K
Authors
606
Institutions
Publications per year
2017–2026
160
353
WGCNA: an R package for weighted correlation network analysis
Peter Langfelder, Steve Horvath · BMC Bioinformatics · 2008 · 29.1K citations · Full text
Computational discovery of gene modules and regulatory networks
Ziv Bar‐Joseph, Georg K. Gerber, Tong Ihn Lee et al. · Nature Biotechnology · 2003 · 620 citations
1–5 of 353
1.4K
University at Buffalo, State University of New York, United States
6 publications · 421 citations
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5
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4
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Indiana University – Purdue University Indianapolis, United States
4 publications · 57 citations
4
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4
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1–5 of 1.4K
606

Xidian University
Xi'an, China
9 h-index
25 publications
882 citations

Central South University
Changsha, China
8 h-index
34 publications
3K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
30 publications
894 citations
University of California, Los Angeles
Los Angeles, United States
7 h-index
12 publications
60.5K citations

Chinese Academy of Medical Sciences & Peking Union Medical College
Beijing, China
7 h-index
38 publications
1.4K citations
University at Buffalo, State University of New York
Buffalo, United States
7 h-index
16 publications
1.3K citations

Indian Statistical Institute
Kolkata, India
6 h-index
9 publications
197 citations
KU Leuven
Leuven, Belgium
6 h-index
28 publications
1.1K citations
1–8 of 606
29 publications · 2.3K citations
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26 publications · 30.4K citations
17
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19 publications · 722 citations
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13 publications · 662 citations
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14 publications · 605 citations
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