Missing Genotype Inference

Missing Genotype Inference is a computational method that belongs to the class of genotype imputation techniques, distinguished by its specific purpose of predicting unobserved or absent genotype data in genetic datasets using reference haplotype panels and probabilistic modeling.

149

Publications

21.1K

Citations

669

Authors

322

Institutions

Publications per year

2017–2026

45

Authors

669

  1. RC
    Roberto Carvalheiro

    Universidade Estadual Paulista (Unesp), Brazil

    5 publications · 258 citations

    5

    h-index

  2. MS
    Mehdi Sargolzaei

    University of Guelph, Canada

    5 publications · 378 citations

    5

    h-index

  3. FS
    Flávio S. Schenkel

    University of Guelph, Canada

    5 publications · 221 citations

    5

    h-index

  4. MC
    M.P.L. Calus

    Wageningen University & Research, Netherlands

    4 publications · 171 citations

    4

    h-index

  5. MS
    Matthew Stephens

    University of Chicago, United States

    4 publications · 2.8K citations

    4

    h-index

1–5 of 669

Venues

  1. Genetic Epidemiology

    11 publications · 394 citations

    11

    h-index

  2. The American Journal of Human Genetics

    AJHG · 10 publications · 5.8K citations

    10

    h-index

  3. Journal of Dairy Science

    JDS · 9 publications · 675 citations

    9

    h-index

  4. Genetics

    7 publications · 530 citations

    7

    h-index

  5. G3 Genes Genomes Genetics

    7 publications · 682 citations

    7

    h-index

1–5