Phenotype Evolution Analysis

Phenotype Evolution Analysis is a computational framework that characterizes the dynamic changes in phenotypic traits over time by integrating longitudinal data with temporal modeling to reveal patterns of phenotypic progression distinct from static phenotyping approaches.

22

Publications

1.4K

Citations

158

Authors

98

Institutions

Publications per year

2017–2026

12

Authors

158

  1. YZ
    Ya‐Ping Zhang

    Kunming Institute of Zoology, China

    1 publications · 13 citations

    1

    h-index

  2. AR
    Agnieszka Różdżyńska‐Świątkowska

    Children's Memorial Health Institute, Poland

    1 publications · 28 citations

    1

    h-index

  3. GL
    Guangqiang Long

    Yunnan Agricultural University, China

    1 publications · 34 citations

    1

    h-index

  4. FM
    Frank Miedema

    University of Amsterdam, Netherlands

    1 publications · 238 citations

    1

    h-index

  5. YL
    Yan Li

    Chinese Academy of Sciences, China

    1 publications · 13 citations

    1

    h-index

1–5 of 158

Venues

  1. BMC Evolutionary Biology

    3 publications · 61 citations

    3

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 236 citations

    2

    h-index

  3. 1

    h-index

  4. Clinical Genetics

    1 publications · 28 citations

    1

    h-index

  5. Molecular Systems Biology

    1 publications · 20 citations

    1

    h-index

1–5