Marker Imputation

Marker Imputation is a methodological framework within the domain of marker conversion that enables the prediction and incorporation of missing or unobserved markers in a dataset by leveraging structural or relational patterns among observed markers.

29

Publications

1.6K

Citations

155

Authors

82

Institutions

Publications per year

2017–2026

9

Authors

155

  1. JJ
    Jean‐Luc Jannink

    Cornell University, United States

    3 publications · 219 citations

    3

    h-index

  2. RE
    Reiner Emmerling

    Bavarian State Research Center for Agriculture, Germany

    2 publications · 57 citations

    2

    h-index

  3. TD
    Tom Druet

    University of Liège, Belgium

    2 publications · 157 citations

    2

    h-index

  4. HI
    Hiroyoshi Iwata

    The University of Tokyo, Japan

    2 publications · 40 citations

    2

    h-index

  5. JC
    Jochen C. Reif

    Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK), Germany

    1 publications · 36 citations

    1

    h-index

1–5 of 155

Venues

  1. Genetics Selection Evolution

    GSE · 5 publications · 282 citations

    5

    h-index

  2. Journal of Dairy Science

    JDS · 3 publications · 182 citations

    3

    h-index

  3. BMC Genomics

    3 publications · 153 citations

    3

    h-index

  4. Genetics

    2 publications · 100 citations

    2

    h-index

  5. The Plant Genome

    2 publications · 53 citations

    2

    h-index

1–5