Predictive Model Explanation

Predictive Model Explanation is a computational methodology that belongs to the class of interpretability techniques in multi-omics research, distinguished by its capacity to elucidate the mechanistic basis of predictions generated by integrative models through feature attribution, pathway enrichment, or network-based reasoning.

84

Publications

7.7K

Citations

293

Authors

157

Institutions

Publications per year

2017–2026

62

Authors

293

  1. PB
    Przemysław Biecek

    Warsaw University of Technology, Poland

    5 publications · 352 citations

    5

    h-index

  2. SL
    Su‐In Lee

    University of Washington, United States

    3 publications · 410 citations

    3

    h-index

  3. HL
    Himabindu Lakkaraju

    Harvard University Press, United States

    3 publications · 459 citations

    3

    h-index

  4. GE
    Ghada Elkhawaga

    Universität Ulm, Germany

    2 publications · 53 citations

    2

    h-index

  5. TV
    Tojo Valisoa Andrianandrianina Johanesa

    University of Mons, Belgium

    2 publications · 49 citations

    2

    h-index

1–5 of 293

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 814 citations

    12

    h-index

  2. IEEE Access

    2 publications · 118 citations

    2

    h-index

  3. Scientific Reports

    2 publications · 63 citations

    2

    h-index

  4. 2

    h-index

  5. Physics Letters B

    2 publications · 34 citations

    2

    h-index

1–5