Concepedia

Graph-based Phenotype Discovery

Graph-Based Phenotype Discovery is a computational method within unsupervised phenotype discovery that leverages graph structures to represent and infer phenotypic patterns from biomedical data by modeling relationships among entities as nodes and edges.

11

Publications

350

Citations

50

Authors

32

Institutions

Publications per year

2017–2026

7

Parents

Publications

11

Unsupervised and supervised discovery of tissue cellular neighborhoods from cell phenotypes

Yuxuan Hu, Jiazhen Rong, Yafei Xu et al. · Nature Methods · 2024 · 90 citations · Full text

, , +16

Efficient network-guided multi-locus association mapping with graph cuts

Chloé‐Agathe Azencott, Dominik G. Grimm, Mahito Sugiyama et al. · Bioinformatics · 2013 · 58 citations · Full text

, , +13

A Network-Based “Phenomics” Approach for Discovering Patient Subtypes From High-Throughput Cardiac Imaging Data

Jung Sun Cho, Sirish Shrestha, Nobuyuki Kagiyama et al. · JACC. Cardiovascular imaging · 2020 · 37 citations

, , +16

Speos: an ensemble graph representation learning framework to predict core gene candidates for complex diseases

Florin Ratajczak, Mitchell Joblin, Marcel Hildebrandt et al. · Nature Communications · 2023 · 31 citations · Full text

, , +16

Graph-based semi-supervised learning with genomic data integration using condition-responsive genes applied to phenotype classification

Abolfazl Doostparast Torshizi, Linda Petzold · Journal of the American Medical Informatics Association · 2017 · 27 citations · Full text

, , +17

1–5 of 11

Authors

50

  1. PG
    Philip Groth

    Bayer (Germany), Germany

    1 publications · 10 citations

    1

    h-index

  2. AV
    Archana Venkataraman

    Johns Hopkins University, United States

    1 publications · 19 citations

    1

    h-index

  3. LG
    Lin Gao

    Universidad de Sevilla, Spain

    1 publications · 90 citations

    1

    h-index

  4. GC
    Grace Casaclang‐Verzosa

    Mayo Clinic, United States

    1 publications · 37 citations

    1

    h-index

  5. PF
    Pascal Falter‐Braun

    Helmholtz Zentrum München, Germany

    1 publications · 31 citations

    1

    h-index

1–5 of 50

Institutions

32

  1. West Virginia University Hospitals

    Morgantown, United States

    1 h-index

    2 publications

    74 citations

  2. Norwegian Cancer Society

    Oslo, Norway

    1 h-index

    2 publications

    54 citations

  3. Technical University of Munich

    Munich, Germany

    1 h-index

    1 publications

    31 citations

  4. Laboratoire d'Informatique de Paris-Nord

    Villetaneuse, France

    1 h-index

    3 publications

    66 citations

  5. Helmholtz Association of German Research Centres

    Berlin, Germany

    1 h-index

    1 publications

    31 citations

  6. Sapienza University of Rome

    Rome, Italy

    1 h-index

    1 publications

    15 citations

  7. National Research Council

    Rome, Italy

    1 h-index

    2 publications

    30 citations

  8. University of Pennsylvania

    Philadelphia, United States

    1 h-index

    3 publications

    270 citations

1–8 of 32

Venues

  1. Bioinformatics

    4 publications · 122 citations

    4

    h-index

  2. Medical Imaging with Deep Learning

    1 publications · 19 citations

    1

    h-index

  3. Journal of the American Medical Informatics Association

    JAMIA · 1 publications · 27 citations

    1

    h-index

  4. Methods in molecular biology

    Book series · 1 publications · 10 citations

    1

    h-index

  5. Animal Cells and Systems

    1 publications · 14 citations

    1

    h-index

1–5