Likelihood-based Segregation Testing

Likelihood-Based Segregation Testing is a statistical method in genetic segregation analysis that evaluates the plausibility of a hypothesized inheritance pattern by comparing the likelihood of observed pedigree data under competing genetic models.

47

Publications

4.1K

Citations

140

Authors

69

Institutions

Publications per year

2017–2026

0

Authors

140

  1. BG
    Bruno Goffinet

    Laboratoire de Génétique Cellulaire, France

    2 publications · 372 citations

    2

    h-index

  2. RC
    Robert C. Elston

    Case Western Reserve University, United States

    2 publications · 1.7K citations

    2

    h-index

  3. XP
    Xavier Perrier

    Centre de Coopération Internationale en Recherche Agronomique pour le Développement, France

    2 publications · 372 citations

    2

    h-index

  4. NE
    Newton E. Morton

    University of Hawaii System, United States

    2 publications · 144 citations

    2

    h-index

  5. ML
    Mathias Lorieux

    Institut de Recherche pour le Développement, France

    2 publications · 372 citations

    2

    h-index

1–5 of 140

Venues

  1. PubMed

    Repository · 9 publications · 351 citations

    9

    h-index

  2. Theoretical and Applied Genetics

    5 publications · 480 citations

    5

    h-index

  3. Human Heredity

    3 publications · 1.6K citations

    3

    h-index

  4. Heredity

    3 publications · 181 citations

    3

    h-index

  5. Genetic Epidemiology

    3 publications · 77 citations

    3

    h-index

1–5