Kernel-based Fusion

Kernel-Based Fusion is a multi-omics data fusion method that integrates heterogeneous biological datasets by mapping them into a common feature space through kernel functions, enabling nonlinear relationships to be captured and jointly analyzed within a unified mathematical framework.

107

Publications

6K

Citations

418

Authors

201

Institutions

Publications per year

2017–2026

56

Authors

418

  1. FG
    Fei Guo

    Tianjin University, China

    7 publications · 417 citations

    7

    h-index

  2. JT
    Jijun Tang

    University of South Carolina, United States

    6 publications · 378 citations

    6

    h-index

  3. YD
    Yijie Ding

    University of Electronic Science and Technology of China, China

    6 publications · 372 citations

    6

    h-index

  4. QZ
    Quan Zou

    University of Electronic Science and Technology of China, China

    3 publications · 101 citations

    3

    h-index

  5. VA
    Vasco Azevedo

    Universidade Federal de Minas Gerais, Brazil

    2 publications · 101 citations

    2

    h-index

1–5 of 418

Venues

  1. Frontiers in Genetics

    4 publications · 178 citations

    4

    h-index

  2. PLoS ONE

    3 publications · 115 citations

    3

    h-index

  3. 3

    h-index

  4. 3

    h-index

  5. Bioinformatics

    3 publications · 882 citations

    3

    h-index

1–5