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

Authors

844

  1. SE
    Sacha Epskamp

    University of Amsterdam, Netherlands

    10 publications · 4.7K citations

    10

    h-index

  2. DR
    Donald R. Williams

    University of California, Davis, United States

    9 publications · 548 citations

    9

    h-index

  3. EI
    Eiko I. Fried

    Leiden University, Netherlands

    9 publications · 3.7K citations

    9

    h-index

  4. RJ
    Richard J. McNally

    Harvard University, United States

    7 publications · 1.1K citations

    7

    h-index

  5. PR
    Philippe Rast

    University of California, Davis, United States

    5 publications · 507 citations

    5

    h-index

1–5 of 844

Venues

  1. PLoS ONE

    10 publications · 931 citations

    10

    h-index

  2. Bioinformatics

    9 publications · 1.9K citations

    9

    h-index

  3. Scientific Reports

    8 publications · 202 citations

    8

    h-index

  4. Frontiers in Psychiatry

    6 publications · 230 citations

    6

    h-index

  5. International Journal of Eating Disorders

    4 publications · 203 citations

    4

    h-index

1–5