Count-based Expression Analysis

Count-Based Expression Analysis is a computational method in transcriptomics that quantifies gene expression levels by aggregating and normalizing sequence read counts aligned to genomic features, distinguishing itself from other expression analysis approaches through its reliance on discrete counting of high-throughput sequencing reads as the primary metric of transcriptional activity.

78

Publications

36.7K

Citations

280

Authors

130

Institutions

Publications per year

2017–2026

28

Authors

280

  1. SA
    Simon Anders

    Heidelberg University, Germany

    4 publications · 24.3K citations

    4

    h-index

  2. WH
    Wolfgang Huber

    European Molecular Biology Laboratory, Germany

    4 publications · 24.3K citations

    4

    h-index

  3. GK
    Gordon K. Smyth

    Walter and Eliza Hall Institute of Medical Research, Australia

    4 publications · 1.6K citations

    4

    h-index

  4. KK
    Koji Kadota

    The University of Tokyo, Japan

    3 publications · 297 citations

    3

    h-index

  5. SS
    Shian Su

    Walter and Eliza Hall Institute of Medical Research, Australia

    3 publications · 1.4K citations

    3

    h-index

1–5 of 280

Venues

  1. Bioinformatics

    18 publications · 26.1K citations

    17

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 1.4K citations

    8

    h-index

  3. BMC Bioinformatics

    6 publications · 2K citations

    6

    h-index

  4. BMC Genomics

    5 publications · 429 citations

    5

    h-index

  5. F1000Research

    4 publications · 1.4K citations

    4

    h-index

1–5