Time-course Differential Expression

Time-Course Differential Expression is a differential expression analysis method that specifically models and identifies changes in gene expression levels across a series of time points, distinguishing itself from static or single-time-point approaches by capturing temporal dynamics in transcriptomic data.

59

Publications

3.8K

Citations

277

Authors

133

Institutions

Publications per year

2017–2026

7

Authors

277

  1. NY
    Nir Yosef

    University of California, Berkeley, United States

    3 publications · 229 citations

    3

    h-index

  2. WZ
    Wenxuan Zhong

    University of Georgia, United States

    2 publications · 54 citations

    2

    h-index

  3. JS
    Jun S. Liu

    Harvard University, United States

    2 publications · 54 citations

    2

    h-index

  4. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    2 publications · 185 citations

    2

    h-index

  5. TH
    Thomas Herdegen

    Christian-Albrechts-Universität zu Kiel, Germany

    2 publications · 109 citations

    2

    h-index

1–5 of 277

Venues

  1. Bioinformatics

    7 publications · 860 citations

    7

    h-index

  2. BMC Bioinformatics

    7 publications · 417 citations

    7

    h-index

  3. PLoS ONE

    6 publications · 277 citations

    6

    h-index

  4. 2

    h-index

  5. Biometrics

    2 publications · 39 citations

    2

    h-index

1–5