Partitioned Model Selection

Partitioned Model Selection is a model selection methodology in phylogenetics that partitions molecular sequence data into distinct subsets according to predefined criteria (e.g., gene regions, codon positions), and assigns each subset an independently optimized substitution model to better capture heterogeneity in the evolutionary process across sites.

4

Publications

5.5K

Citations

12

Authors

12

Institutions

Publications per year

2017–2026

2

Authors

12

  1. SC
    Stephen Crotty

    ARC Centre of Excellence for Mathematical and Statistical Frontiers, Australia

    1 publications · 27 citations

    1

    h-index

  2. BC
    Brett Calcott

    Australian National University, Australia

    1 publications · 5.4K citations

    1

    h-index

  3. EC
    Eva Ceulemans

    KU Leuven, Belgium

    1 publications · 48 citations

    1

    h-index

  4. ES
    Edward Susko

    Dalhousie University, Canada

    1 publications · 59 citations

    1

    h-index

  5. TS
    Tereza Senfeld

    Smithsonian Institution, United States

    1 publications · 5.4K citations

    1

    h-index

1–5 of 12

Venues

  1. Molecular Biology and Evolution

    MBE · 2 publications · 5.4K citations

    2

    h-index

  2. Systematic Biology

    1 publications · 27 citations

    1

    h-index

  3. Journal of Classification

    1 publications · 48 citations

    1

    h-index

1–3