Single-cell Batch Correction

Single-Cell Batch Correction is a computational method designed to identify and remove technical variations across different experimental batches in single-cell epigenomic datasets while preserving biological heterogeneity of interest.

40

Publications

4.9K

Citations

189

Authors

88

Institutions

Publications per year

2017–2026

39

Authors

189

  1. JC
    John C. Marioni

    European Bioinformatics Institute, United Kingdom

    2 publications · 2.7K citations

    2

    h-index

  2. RC
    Ruben Chazarra-Gil

    Wellcome Sanger Institute, United Kingdom

    2 publications · 113 citations

    2

    h-index

  3. MD
    Michael D. Morgan

    University of Cambridge, United Kingdom

    2 publications · 2.7K citations

    2

    h-index

  4. JZ
    Jie Zhang

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 165 citations

    2

    h-index

  5. TS
    Travis S. Johnson

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 165 citations

    2

    h-index

1–5 of 189

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 10 publications · 176 citations

    10

    h-index

  2. Nature Communications

    5 publications · 510 citations

    5

    h-index

  3. Bioinformatics

    5 publications · 159 citations

    5

    h-index

  4. Briefings in Bioinformatics

    3 publications · 66 citations

    3

    h-index

  5. Genome biology

    1 publications · 150 citations

    1

    h-index

1–5