Concepedia

Relatedness-based Sampling

Relatedness-Based Sampling is a methodological approach in training population design that selects samples based on their genetic or phenotypic relatedness to ensure representation of specific ancestral lineages or subpopulations within the cohort.

2

Publications

83

Citations

12

Authors

3

Institutions

Publications per year

2017–2026

1

Parents

Publications

2

1–2 of 2

Authors

12

  1. BY
    Bo Yu

    National Institutes of Health, United States

    1 publications · 34 citations

    1

    h-index

  2. QL
    Qingliang Li

    National Center for Biotechnology Information, United States

    1 publications · 34 citations

    1

    h-index

  3. RM
    Rosanna Mangione

    University of Vienna, Austria

    1 publications · 49 citations

    1

    h-index

  4. AG
    Asta Gindulytė

    National Center for Biotechnology Information, United States

    1 publications · 34 citations

    1

    h-index

  5. TC
    Tiejun Cheng

    National Center for Biotechnology Information, United States

    1 publications · 34 citations

    1

    h-index

1–5 of 12

Institutions

3

  1. National Center for Biotechnology Information

    Bethesda, United States

    1 h-index

    9 publications

    306 citations

  2. National Institutes of Health

    Bethesda, United States

    1 h-index

    9 publications

    306 citations

  3. University of Vienna

    Vienna, Austria

    1 h-index

    3 publications

    147 citations

1–3 of 3

Venues

  1. Molecular Ecology Resources

    1 publications · 49 citations

    1

    h-index

  2. Frontiers in Research Metrics and Analytics

    RMA · 1 publications · 34 citations

    1

    h-index

1–2