Phasing-based Imputation

Phasing-Based Imputation is a genotype imputation method that infers unobserved genotypes by first resolving haplotype phase in population-level genetic data and then leveraging the reconstructed haplotypes to improve the accuracy of allele dosage prediction.

35

Publications

6.5K

Citations

169

Authors

85

Institutions

Publications per year

2017–2026

13

Authors

169

  1. JM
    John M. Hickey

    University of Edinburgh, United Kingdom

    6 publications · 442 citations

    6

    h-index

  2. AL
    Alkes L. Price

    Harvard University, United States

    4 publications · 2.5K citations

    4

    h-index

  3. PF
    Pier Francesco Palamara

    Harvard University, United States

    4 publications · 2.5K citations

    4

    h-index

  4. BK
    Brian Kinghorn

    University of New England, Australia

    4 publications · 392 citations

    4

    h-index

  5. PL
    Po‐Ru Loh

    Harvard University, United States

    4 publications · 2.5K citations

    4

    h-index

1–5 of 169

Venues

  1. Genetics Selection Evolution

    GSE · 8 publications · 545 citations

    8

    h-index

  2. Nature Genetics

    4 publications · 4.8K citations

    4

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 190 citations

    3

    h-index

  4. The American Journal of Human Genetics

    AJHG · 2 publications · 346 citations

    2

    h-index

  5. Journal of Dairy Science

    JDS · 2 publications · 63 citations

    2

    h-index

1–5