Genotype Imputation Accuracy

Genotype Imputation Accuracy is a metric that quantifies the degree of concordance between imputed genotypes and true genotypes, distinguishing it from other imputation performance measures by specifically reflecting the correctness of allele or genotype predictions in the context of missing data reconstruction.

312

Publications

38.3K

Citations

2.1K

Authors

763

Institutions

Publications per year

2017–2026

137

Authors

2.1K

  1. GR
    Gonçalo R. Abecasis

    University of Michigan, United States

    11 publications · 9.6K citations

    11

    h-index

  2. YL
    Yun Li

    University of North Carolina at Chapel Hill, United States

    11 publications · 2.9K citations

    11

    h-index

  3. JM
    John M. Hickey

    University of Edinburgh, United Kingdom

    10 publications · 621 citations

    10

    h-index

  4. BJ
    Ben J. Hayes

    The University of Queensland, Australia

    10 publications · 1K citations

    10

    h-index

  5. FS
    Flávio S. Schenkel

    University of Guelph, Canada

    10 publications · 459 citations

    10

    h-index

1–5 of 2.1K

Venues

  1. Genetics Selection Evolution

    GSE · 30 publications · 2K citations

    24

    h-index

  2. Journal of Dairy Science

    JDS · 17 publications · 1.2K citations

    17

    h-index

  3. PLoS ONE

    14 publications · 1K citations

    14

    h-index

  4. Frontiers in Genetics

    14 publications · 592 citations

    14

    h-index

  5. G3 Genes Genomes Genetics

    13 publications · 2.3K citations

    13

    h-index

1–5