Computational Combination Prioritization

Computational Combination Prioritization is a systematic methodological framework that integrates multi-omics data and network-based modeling to identify and rank synergistic drug combinations for therapeutic repurposing through predictive computational analysis.

27

Publications

2.1K

Citations

172

Authors

82

Institutions

Publications per year

2017–2026

20

Authors

172

  1. TA
    Tero Aittokallio

    University of Helsinki, Finland

    3 publications · 169 citations

    3

    h-index

  2. JT
    Jing Tang

    University of Helsinki, Finland

    2 publications · 98 citations

    2

    h-index

  3. ST
    Sanna Timonen

    University of Helsinki, Finland

    2 publications · 154 citations

    2

    h-index

  4. KW
    Krister Wennerberg

    Institute for Molecular Medicine Finland, Finland

    2 publications · 98 citations

    2

    h-index

  5. LH
    Liye He

    University of Helsinki, Finland

    2 publications · 98 citations

    2

    h-index

1–5 of 172

Venues

  1. Bioinformatics

    4 publications · 809 citations

    4

    h-index

  2. PLoS ONE

    2 publications · 32 citations

    2

    h-index

  3. Cancer Research

    2 publications · 197 citations

    2

    h-index

  4. Scientific Reports

    2 publications · 159 citations

    2

    h-index

  5. Cell Systems

    1 publications · 78 citations

    1

    h-index

1–5