Predictive Response Modeling

Predictive Response Modeling is a computational framework in immunotherapy pharmacogenomics that belongs to the class of predictive modeling methods and is specifically differentiated by its focus on integrating genomic and immune response data to forecast individual patient outcomes to immunotherapeutic interventions.

169

Publications

11K

Citations

1.3K

Authors

560

Institutions

Publications per year

2017–2026

108

Authors

1.3K

  1. AA
    André Altmann

    University College London, United Kingdom

    5 publications · 121 citations

    5

    h-index

  2. MZ
    Maurizio Zazzi

    University of Siena, Italy

    5 publications · 184 citations

    5

    h-index

  3. TL
    Thomas Lengauer

    Max Planck Institute for Informatics, Germany

    5 publications · 121 citations

    5

    h-index

  4. JM
    Julio Montaner

    University of British Columbia, Canada

    4 publications · 105 citations

    4

    h-index

  5. GR
    Giulia Russo

    University of Catania, Italy

    4 publications · 110 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. PLoS ONE

    8 publications · 2.9K citations

    8

    h-index

  2. Briefings in Bioinformatics

    6 publications · 457 citations

    7

    h-index

  3. Frontiers in Immunology

    6 publications · 465 citations

    7

    h-index

  4. Scientific Reports

    5 publications · 151 citations

    5

    h-index

  5. Bioinformatics

    5 publications · 176 citations

    5

    h-index

1–5