Population Structure Adjustment

Population Structure Adjustment is a methodological contribution in training population design that modifies the demographic, genetic, or phenotypic composition of a sample population to enhance representativeness, reduce bias, or improve generalizability in model training and inference.

204

Publications

12.7K

Citations

1.2K

Authors

512

Institutions

Publications per year

2017–2026

61

Authors

1.2K

  1. EE
    Eleazar Eskin

    University of California, Los Angeles, United States

    4 publications · 251 citations

    4

    h-index

  2. FH
    Farhad Hormozdiari

    University of California, Los Angeles, United States

    4 publications · 269 citations

    4

    h-index

  3. JC
    Jukka Corander

    University of Helsinki, Finland

    3 publications · 179 citations

    3

    h-index

  4. TA
    Timothy A. Thornton

    University of Washington, United States

    2 publications · 495 citations

    2

    h-index

  5. BE
    Badraldin Ebrahim Sayed-Tabatabaei

    Isfahan University of Technology, Iran

    2 publications · 80 citations

    2

    h-index

1–5 of 1.2K

Venues

  1. Heredity

    11 publications · 727 citations

    11

    h-index

  2. Genetic Resources and Crop Evolution

    7 publications · 238 citations

    7

    h-index

  3. Tree Genetics & Genomes

    7 publications · 310 citations

    7

    h-index

  4. Theoretical and Applied Genetics

    7 publications · 989 citations

    7

    h-index

  5. Conservation Genetics

    6 publications · 169 citations

    6

    h-index

1–5