Phenotype Quality Control

Phenotype Quality Control is a methodological framework within phenotype ontologies that systematically verifies and ensures the accuracy, consistency, and reliability of phenotypic data annotations through standardized validation procedures.

7

Publications

228

Citations

87

Authors

24

Institutions

Publications per year

2017–2026

3

Authors

87

  1. JR
    Jonathan Rosand

    Massachusetts General Hospital, United States

    1 publications · 54 citations

    1

    h-index

  2. JR
    Jaume Roquer

    Universitat Autònoma de Barcelona, Spain

    1 publications · 54 citations

    1

    h-index

  3. SS
    Stephan Seiler

    Medical University of Graz, Austria

    1 publications · 54 citations

    1

    h-index

  4. RR
    Rachel Richesson

    Duke University, United States

    1 publications · 36 citations

    1

    h-index

  5. JM
    John M. Hancock

    Mary Lyon Centre at MRC Harwell, United Kingdom

    1 publications · 52 citations

    1

    h-index

1–5 of 87

Venues

  1. Journal of Biomedical Semantics

    JBMS · 1 publications · 20 citations

    1

    h-index

  2. GigaScience

    1 publications · 36 citations

    1

    h-index

  3. Stroke

    1 publications · 54 citations

    1

    h-index

  4. Mammalian Genome

    1 publications · 30 citations

    1

    h-index

  5. Animal Frontiers

    1 publications · 24 citations

    1

    h-index

1–5