Network-based Prognostics

Network-Based Prognostics is a computational framework that integrates molecular, clinical, and network-level data to model disease progression and predict patient outcomes by leveraging the topological and functional properties of biological networks.

227

Publications

9.7K

Citations

1.3K

Authors

622

Institutions

Publications per year

2017–2026

135

Authors

1.3K

  1. SM
    Shuangge Ma

    Yale University, United States

    5 publications · 154 citations

    5

    h-index

  2. PL
    Píetro Lió

    University of Cambridge, United Kingdom

    4 publications · 141 citations

    4

    h-index

  3. JH
    Jung Hun Oh

    Memorial Sloan Kettering Cancer Center, United States

    3 publications · 97 citations

    3

    h-index

  4. XL
    Xiaoping Liu

    Sun Yat-sen University, China

    3 publications · 164 citations

    3

    h-index

  5. KH
    Kun Huang

    The Ohio State University, United States

    3 publications · 161 citations

    3

    h-index

1–5 of 1.3K

Venues

  1. Frontiers in Genetics

    8 publications · 213 citations

    8

    h-index

  2. Scientific Reports

    7 publications · 339 citations

    7

    h-index

  3. Bioinformatics

    7 publications · 626 citations

    7

    h-index

  4. BMC Bioinformatics

    7 publications · 348 citations

    7

    h-index

  5. Expert Systems with Applications

    5 publications · 233 citations

    5

    h-index

1–5