Differential Expression Integration

Differential Expression Integration is a computational framework that synthesizes differential expression data across multiple transcriptomic studies or conditions to identify consistent, biologically meaningful gene expression changes while accounting for technical and biological variability.

18

Publications

1.1K

Citations

97

Authors

47

Institutions

Publications per year

2017–2026

5

Authors

97

  1. MA
    Michael A. Blanar

    Bristol-Myers Squibb (United States), United States

    1 publications · 89 citations

    1

    h-index

  2. SF
    Susan F. Greenhut

    National Cancer Institute, United States

    1 publications · 34 citations

    1

    h-index

  3. LW
    L. Walt Ream

    Oregon State University, United States

    1 publications · 89 citations

    1

    h-index

  4. QW
    Qun Wang

    East China Normal University, China

    1 publications · 37 citations

    1

    h-index

  5. SC
    Sze Chuen Cesar Wong

    Queen Elizabeth Hospital, China

    1 publications · 38 citations

    1

    h-index

1–5 of 97

Venues

  1. BMC Bioinformatics

    2 publications · 121 citations

    2

    h-index

  2. Bioinformatics

    1 publications · 240 citations

    1

    h-index

  3. Clinical Laboratory

    1 publications · 13 citations

    1

    h-index

  4. Frontiers in Plant Science

    1 publications · 37 citations

    1

    h-index

  5. Theoretical and Applied Genetics

    1 publications · 14 citations

    1

    h-index

1–5