Marker-to-trait Mapping

Marker-To-Trait Mapping is a computational method that identifies and quantifies associations between biological markers and phenotypic traits through statistical or machine learning models to enable predictive phenotype inference from marker data.

131

Publications

9.7K

Citations

685

Authors

275

Institutions

Publications per year

2017–2026

28

Authors

685

  1. DG
    Daniel Gianola

    University of Wisconsin–Madison, United States

    4 publications · 1.1K citations

    4

    h-index

  2. DB
    David B. Allison

    University of Alabama at Birmingham, United States

    3 publications · 216 citations

    3

    h-index

  3. AK
    Andrzej Kilian

    University of Canberra, Australia

    3 publications · 126 citations

    3

    h-index

  4. KW
    K.A. Weigel

    University of Wisconsin–Madison, United States

    3 publications · 948 citations

    3

    h-index

  5. MD
    Marcos Deon Vilela de Resende

    Universidade Federal de Viçosa, Brazil

    2 publications · 58 citations

    2

    h-index

1–5 of 685

Venues

  1. Genetics

    12 publications · 2.5K citations

    12

    h-index

  2. PLoS ONE

    8 publications · 425 citations

    8

    h-index

  3. Genetic Epidemiology

    7 publications · 170 citations

    7

    h-index

  4. Theoretical and Applied Genetics

    5 publications · 269 citations

    5

    h-index

  5. The American Journal of Human Genetics

    AJHG · 5 publications · 585 citations

    5

    h-index

1–5