Single-cell Differential Expression Analysis

Single-Cell Differential Expression Analysis is a computational method in genomics that identifies statistically significant differences in gene expression levels across individual cells, enabling the discovery of cell-type-specific transcriptional dynamics within heterogeneous biological populations.

139

Publications

17.4K

Citations

757

Authors

315

Institutions

Publications per year

2017–2026

114

Authors

757

  1. JC
    John C. Marioni

    European Bioinformatics Institute, United Kingdom

    5 publications · 1.3K citations

    5

    h-index

  2. MD
    Mark D. Robinson

    University of Zurich, Switzerland

    5 publications · 1.3K citations

    5

    h-index

  3. CZ
    Christoph Ziegenhain

    Ludwig-Maximilians-Universität München, Germany

    4 publications · 502 citations

    4

    h-index

  4. SP
    Swati Parekh

    Ludwig-Maximilians-Universität München, Germany

    4 publications · 502 citations

    4

    h-index

  5. WE
    Wolfgang Enard

    Ludwig-Maximilians-Universität München, Germany

    4 publications · 502 citations

    4

    h-index

1–5 of 757

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 25 publications · 645 citations

    16

    h-index

  2. Genome biology

    11 publications · 1.1K citations

    11

    h-index

  3. Bioinformatics

    9 publications · 836 citations

    9

    h-index

  4. Nature Communications

    8 publications · 2.7K citations

    8

    h-index

  5. Nature Methods

    6 publications · 4.8K citations

    6

    h-index

1–5