Graph-based Disease Classification

Graph-Based Disease Classification is a computational framework that organizes and categorizes diseases based on topological patterns and functional relationships within biological networks, distinguishing it from traditional classification systems by leveraging graph-theoretical principles to uncover disease modules and molecular interdependencies.

153

Publications

8.4K

Citations

668

Authors

312

Institutions

Publications per year

2017–2026

121

Authors

668

  1. ZY
    Zhu‐Hong You

    Xinjiang Technical Institute of Physics & Chemistry, China

    6 publications · 234 citations

    6

    h-index

  2. JL
    Jiawei Luo

    Hunan University, China

    6 publications · 166 citations

    6

    h-index

  3. XL
    Xiujuan Lei

    Shaanxi Normal University, China

    5 publications · 241 citations

    5

    h-index

  4. CL
    Cheng Liang

    Shandong Normal University, China

    5 publications · 128 citations

    5

    h-index

  5. LW
    Lei Wang

    China University of Mining and Technology, China

    5 publications · 163 citations

    5

    h-index

1–5 of 668

Venues

  1. Briefings in Bioinformatics

    11 publications · 470 citations

    11

    h-index

  2. Bioinformatics

    7 publications · 616 citations

    7

    h-index

  3. Methods

    6 publications · 313 citations

    6

    h-index

  4. Medical Image Analysis

    6 publications · 1.1K citations

    6

    h-index

  5. BMC Bioinformatics

    6 publications · 191 citations

    6

    h-index

1–5