Partial Correlation Networks
Partial Correlation Network is a type of gene coexpression network that belongs to the class of statistical dependency networks, distinguished by its use of partial correlation coefficients to infer direct linear relationships between pairs of genes while controlling for the effects of all other genes in the network.
205
Publications
19.2K
Citations
844
Authors
448
Institutions
Publications per year
2017–2026
125
Parents
205
A tutorial on regularized partial correlation networks.
Sacha Epskamp, Eiko I. Fried · Psychological Methods · 2018 · 2.7K citations · Full text
The Gaussian Graphical Model in Cross-Sectional and Time-Series Data
Sacha Epskamp, Lourens Waldorp, René Mõttus et al. · Multivariate Behavioral Research · 2018 · 1.2K citations · Full text
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University of Amsterdam
Amsterdam, The Netherlands
13 h-index
24 publications
11.9K citations
University of California, Davis
Davis, United States
9 h-index
15 publications
1.6K citations
Harvard University
Cambridge, United States
8 h-index
19 publications
2.5K citations
Air Force Medical University
Xi'an, China
7 h-index
42 publications
1.3K citations
University College London
London, United Kingdom
6 h-index
9 publications
836 citations
Ludwig-Maximilians-Universität München
Munich, Germany
5 h-index
7 publications
2.5K citations

Harvard University Press
Cambridge, United States
5 h-index
16 publications
1.3K citations
Seoul National University
Seoul, South Korea
5 h-index
9 publications
405 citations
1–8 of 448
10 publications · 931 citations
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9 publications · 1.9K citations
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8 publications · 202 citations
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6 publications · 230 citations
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4 publications · 203 citations
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