Phenotype Integration

Phenotype Integration is a computational framework that systematically combines phenotypic data with genomic information to enable the identification of genotype-phenotype associations through unified data representation and analysis.

59

Publications

5.8K

Citations

435

Authors

210

Institutions

Publications per year

2017–2026

15

Authors

435

  1. MH
    Melissa Haendel

    Oregon Health & Science University, United States

    7 publications · 1.9K citations

    7

    h-index

  2. CM
    Chris Mungall

    Lawrence Berkeley National Laboratory, United States

    6 publications · 1.9K citations

    6

    h-index

  3. PN
    Peter N. Robinson

    Charité - Universitätsmedizin Berlin, Germany

    5 publications · 1.6K citations

    5

    h-index

  4. DS
    Damian Smedley

    Queen Mary University of London, United Kingdom

    5 publications · 1.4K citations

    5

    h-index

  5. GV
    Georgios V. Gkoutos

    University of Birmingham, United Kingdom

    5 publications · 1.3K citations

    5

    h-index

1–5 of 435

Venues

  1. Bioinformatics

    6 publications · 169 citations

    6

    h-index

  2. Nucleic Acids Research

    6 publications · 1.9K citations

    6

    h-index

  3. Evolution

    3 publications · 267 citations

    3

    h-index

  4. BMC Bioinformatics

    3 publications · 126 citations

    3

    h-index

  5. PLoS Computational Biology

    3 publications · 168 citations

    3

    h-index

1–5