Imputation Error Analysis

Imputation Error Analysis is a methodological framework within genotype imputation studies that systematically evaluates the accuracy and sources of discrepancies between imputed and true genotypes to assess the reliability of imputation results.

118

Publications

17.2K

Citations

619

Authors

283

Institutions

Publications per year

2017–2026

37

Authors

619

  1. TD
    Tom Druet

    University of Liège, Belgium

    3 publications · 345 citations

    3

    h-index

  2. MS
    Mehdi Sargolzaei

    University of Guelph, Canada

    3 publications · 95 citations

    3

    h-index

  3. MS
    Mogens Sandø Lund

    Aarhus University, Denmark

    3 publications · 115 citations

    3

    h-index

  4. MC
    M.P.L. Calus

    Wageningen University & Research, Netherlands

    3 publications · 166 citations

    3

    h-index

  5. BJ
    Ben J. Hayes

    The University of Queensland, Australia

    3 publications · 358 citations

    3

    h-index

1–5 of 619

Venues

  1. Journal of Dairy Science

    JDS · 9 publications · 401 citations

    9

    h-index

  2. PLoS ONE

    5 publications · 300 citations

    5

    h-index

  3. BMC Genetics

    4 publications · 68 citations

    4

    h-index

  4. Bioinformatics

    4 publications · 6.4K citations

    4

    h-index

  5. Genetics Selection Evolution

    GSE · 3 publications · 216 citations

    3

    h-index

1–5