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

Authors

797

  1. LO
    Le Ou-Yang

    Shenzhen University, China

    9 publications · 222 citations

    9

    h-index

  2. XZ
    Xiao-Fei Zhang

    Central China Normal University, China

    8 publications · 206 citations

    8

    h-index

  3. HY
    Hong Yan

    City University of Hong Kong, Hong Kong SAR China

    8 publications · 201 citations

    8

    h-index

  4. JJ
    Jiadong Ji

    Shandong University, China

    5 publications · 127 citations

    5

    h-index

  5. RC
    Robert Clarke

    Georgetown University, United States

    4 publications · 214 citations

    4

    h-index

1–5 of 797

Venues

  1. Bioinformatics

    19 publications · 986 citations

    18

    h-index

  2. PLoS ONE

    10 publications · 255 citations

    10

    h-index

  3. Scientific Reports

    7 publications · 276 citations

    7

    h-index

  4. BMC Bioinformatics

    6 publications · 366 citations

    6

    h-index

  5. Frontiers in Genetics

    5 publications · 144 citations

    5

    h-index

1–5