Tensor-based Association Analysis

Tensor-Based Association Analysis is a computational framework that models multi-omics data as high-dimensional tensors to capture complex, higher-order interactions among biological entities across multiple molecular layers, distinguishing itself from traditional pairwise association methods by preserving multiway data structure and enabling joint analysis of heterogeneous omics measurements.

14

Publications

804

Citations

64

Authors

29

Institutions

Publications per year

2017–2026

12

Authors

64

  1. LS
    Leonel Sousa

    Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal

    2 publications · 32 citations

    2

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  2. SS
    Sergio Santander‐Jiménez

    Universidad de Extremadura, Spain

    2 publications · 32 citations

    2

    h-index

  3. AI
    Aleksandar Ilić

    University of Nis, Serbia

    2 publications · 32 citations

    2

    h-index

  4. JL
    Jiawei Luo

    Hunan University, China

    2 publications · 33 citations

    2

    h-index

  5. PL
    Pei Liu

    Hunan University, China

    2 publications · 33 citations

    2

    h-index

1–5 of 64

Venues

  1. Bioinformatics

    2 publications · 61 citations

    2

    h-index

  2. Frontiers in Genetics

    1 publications · 58 citations

    1

    h-index

  3. Lecture notes in computer science

    LNCS · Book series · 1 publications · 13 citations

    1

    h-index

  4. 1

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 15 citations

    1

    h-index

1–5