Bayesian Gene Tree Inference

Bayesian Gene Tree Inference is a statistical method for reconstructing phylogenetic gene trees that uses Bayesian inference to estimate the posterior probability distribution of tree topologies and parameters under a specified evolutionary model.

44

Publications

10K

Citations

109

Authors

85

Institutions

Publications per year

2017–2026

13

Authors

109

  1. ZY
    Ziheng Yang

    University College London, United Kingdom

    6 publications · 3.3K citations

    6

    h-index

  2. BR
    Bruce Rannala

    University of California, Davis, United States

    6 publications · 3.3K citations

    6

    h-index

  3. JL
    Jens Lagergren

    KTH Royal Institute of Technology, Sweden

    5 publications · 333 citations

    5

    h-index

  4. BS
    Bengt Sennblad

    Karolinska Institutet, Sweden

    4 publications · 320 citations

    4

    h-index

  5. AD
    Adam D. Leaché

    University of Washington, United States

    3 publications · 594 citations

    3

    h-index

1–5 of 109

Venues

  1. Systematic Biology

    9 publications · 1.3K citations

    9

    h-index

  2. Molecular Biology and Evolution

    MBE · 7 publications · 3.4K citations

    7

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 4 publications · 2.3K citations

    4

    h-index

  4. PLoS ONE

    3 publications · 131 citations

    3

    h-index

  5. Molecular Phylogenetics and Evolution

    3 publications · 799 citations

    3

    h-index

1–5