Model-based Differential Expression

Model-Based Differential Expression is a computational approach that belongs to the class of differential expression analysis methods and is distinguished by its reliance on statistical or mathematical models to infer changes in gene expression levels between conditions while accounting for biological and technical variability.

69

Publications

8.9K

Citations

242

Authors

147

Institutions

Publications per year

2017–2026

10

Authors

242

  1. JM
    James M. Olson

    Fred Hutch Cancer Center, United States

    2 publications · 331 citations

    2

    h-index

  2. PS
    Pamela Swain

    NKT Therapeutics (United States), United States

    2 publications · 139 citations

    2

    h-index

  3. GK
    Gordon K. Smyth

    Walter and Eliza Hall Institute of Medical Research, Australia

    2 publications · 1.1K citations

    2

    h-index

  4. JB
    Jane B. Lian

    University of Massachusetts Chan Medical School, United States

    2 publications · 139 citations

    2

    h-index

  5. MA
    Michael Artinger

    University of California, Irvine, United States

    2 publications · 139 citations

    2

    h-index

1–5 of 242

Venues

  1. Bioinformatics

    7 publications · 2.3K citations

    7

    h-index

  2. BMC Bioinformatics

    6 publications · 370 citations

    6

    h-index

  3. Journal of Computational Biology

    3 publications · 523 citations

    3

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 147 citations

    3

    h-index

  5. Journal of Cellular Biochemistry

    2 publications · 139 citations

    2

    h-index

1–5