Time-series Coexpression Analysis

Time-Series Coexpression Analysis is a computational method within gene coexpression network analysis that identifies temporally dynamic patterns of coordinated gene expression by measuring pairwise transcriptional correlations across ordered, sequential time points.

30

Publications

1.4K

Citations

130

Authors

76

Institutions

Publications per year

2017–2026

3

Authors

130

  1. KT
    Kian‐Lee Tan

    National University of Singapore, Singapore

    2 publications · 110 citations

    2

    h-index

  2. HM
    Hideo Matsumura

    Nihon University, Japan

    1 publications · 21 citations

    1

    h-index

  3. KY
    Kentaro Yoshida

    Kobe University, Japan

    1 publications · 21 citations

    1

    h-index

  4. SY
    Shujun Yan

    Third Affiliated Hospital of Zhengzhou University, China

    1 publications · 47 citations

    1

    h-index

  5. DT
    Damon T. Page

    Scripps Research Institute, United States

    1 publications · 51 citations

    1

    h-index

1–5 of 130

Venues

  1. Bioinformatics

    4 publications · 154 citations

    4

    h-index

  2. PROTEOMICS

    1 publications · 13 citations

    1

    h-index

  3. Gene

    1 publications · 47 citations

    1

    h-index

  4. Computer applications in the biosciences

    CABIOS · 1 publications · 27 citations

    1

    h-index

  5. Physical Review Letters

    PRL · 1 publications · 136 citations

    1

    h-index

1–5