Phenotype Visualization

Phenotype Visualization is a computational method that enables the interpretable graphical representation of discovered phenotypic patterns from unlabeled biomedical data, distinguishing itself by facilitating the human-guided exploration and validation of latent patient subgroups in unsupervised phenotype discovery.

49

Publications

4.7K

Citations

341

Authors

129

Institutions

Publications per year

2017–2026

17

Authors

341

  1. DW
    Daniel Wigdor

    University of Toronto, Canada

    3 publications · 90 citations

    3

    h-index

  2. XJ
    Xingpeng Jiang

    Central China Normal University, China

    3 publications · 48 citations

    3

    h-index

  3. FC
    Fanny Chevalier

    University of Toronto, Canada

    3 publications · 90 citations

    3

    h-index

  4. MB
    Michael Brudno

    University of Toronto, Canada

    3 publications · 90 citations

    3

    h-index

  5. MG
    Michael Glueck

    Autodesk (Canada), Canada

    3 publications · 90 citations

    3

    h-index

1–5 of 341

Venues

  1. F1000Research

    3 publications · 300 citations

    3

    h-index

  2. PLoS ONE

    3 publications · 364 citations

    3

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 90 citations

    3

    h-index

  4. Nucleic Acids Research

    3 publications · 1.6K citations

    3

    h-index

  5. BMC Medical Genomics

    2 publications · 135 citations

    2

    h-index

1–5