Differential Expression Analysis

Differential Expression Analysis is a computational method in gene expression analysis that identifies statistically significant variations in gene expression levels between distinct biological conditions or cell populations, distinguishing itself from other genomic data analysis techniques by focusing specifically on expression differences attributable to experimental or biological factors.

7.1K

Publications

1.2M

Citations

29.5K

Authors

4.9K

Institutions

Publications per year

2017–2026

1.9K

Authors

29.5K

  1. GK
    Gordon K. Smyth

    Walter and Eliza Hall Institute of Medical Research, Australia

    46 publications · 131.6K citations

    39

    h-index

  2. MD
    Mark D. Robinson

    University of Zurich, Switzerland

    26 publications · 65.9K citations

    23

    h-index

  3. WH
    Wolfgang Huber

    European Molecular Biology Laboratory, Germany

    24 publications · 128.5K citations

    22

    h-index

  4. RA
    Rafael A. Irizarry

    Johns Hopkins University, United States

    22 publications · 27.5K citations

    22

    h-index

  5. TP
    Terence P. Speed

    Walter and Eliza Hall Institute of Medical Research, Australia

    24 publications · 15.7K citations

    21

    h-index

1–5 of 29.5K

Venues

  1. Bioinformatics

    552 publications · 133.1K citations

    127

    h-index

  2. Nucleic Acids Research

    253 publications · 109.4K citations

    89

    h-index

  3. BMC Bioinformatics

    424 publications · 51.9K citations

    86

    h-index

  4. Genome biology

    104 publications · 174.1K citations

    67

    h-index

  5. BMC Genomics

    194 publications · 13.7K citations

    63

    h-index

1–5