Bayesian Quantitative Trait Loci Mapping

Bayesian Quantitative Trait Loci Mapping is a statistical method for identifying genomic regions associated with quantitative traits by incorporating prior knowledge and uncertainty through Bayesian inference, distinguishing itself from frequentist approaches through its probabilistic modeling of parameters and use of posterior distributions to estimate locus effects.

118

Publications

8.9K

Citations

359

Authors

208

Institutions

Publications per year

2017–2026

10

Variants

Bayesian Qtl Mapping

Authors

359

  1. SX
    Shizhong Xu

    University of California, Riverside, United States

    16 publications · 1.8K citations

    15

    h-index

  2. MJ
    Mikko J. Sillanpää

    University of Helsinki, Finland

    14 publications · 878 citations

    13

    h-index

  3. NY
    Nengjun Yi

    University of Alabama at Birmingham, United States

    13 publications · 1.5K citations

    13

    h-index

  4. IH
    Ina Hoeschele

    Virginia Tech, United States

    8 publications · 443 citations

    8

    h-index

  5. BS
    Brian S. Yandell

    University of Wisconsin–Madison, United States

    7 publications · 691 citations

    7

    h-index

1–5 of 359

Venues

  1. Genetics

    40 publications · 4.5K citations

    29

    h-index

  2. Theoretical and Applied Genetics

    9 publications · 336 citations

    9

    h-index

  3. Bioinformatics

    6 publications · 213 citations

    6

    h-index

  4. Genetic Epidemiology

    6 publications · 159 citations

    6

    h-index

  5. Genetics Selection Evolution

    GSE · 5 publications · 140 citations

    5

    h-index

1–5