Time-course Differential Expression Analysis

Time-Course Differential Expression Analysis is a computational method in differential gene expression analysis that identifies genes with dynamically changing expression levels across a series of time points by modeling temporal dependencies in longitudinal transcriptomic data.

78

Publications

4.3K

Citations

441

Authors

184

Institutions

Publications per year

2017–2026

17

Authors

441

  1. NY
    Nir Yosef

    University of California, Berkeley, United States

    3 publications · 229 citations

    3

    h-index

  2. MM
    Margherita Mutarelli

    Telethon Institute Of Genetics And Medicine, Italy

    2 publications · 103 citations

    2

    h-index

  3. CA
    Claudia Angelini

    Istituto per le Applicazioni del Calcolo Mauro Picone, Italy

    2 publications · 103 citations

    2

    h-index

  4. JD
    John D. Storey

    Princeton University, United States

    2 publications · 653 citations

    2

    h-index

  5. DD
    Daniela De Canditiis

    Istituto per le Applicazioni del Calcolo Mauro Picone, Italy

    2 publications · 103 citations

    2

    h-index

1–5 of 441

Venues

  1. BMC Bioinformatics

    10 publications · 504 citations

    10

    h-index

  2. PLoS ONE

    8 publications · 460 citations

    8

    h-index

  3. Bioinformatics

    5 publications · 654 citations

    5

    h-index

  4. Biostatistics

    3 publications · 54 citations

    3

    h-index

  5. The Annals of Applied Statistics

    AOAS · 2 publications · 66 citations

    2

    h-index

1–5