Transcriptomic Batch Correction

Transcriptomic Batch Correction is a computational methodology designed to identify and remove non-biological, experimentally induced variations in gene expression data while preserving biologically relevant signals across different transcriptomic datasets.

29

Publications

1.5K

Citations

172

Authors

88

Institutions

Publications per year

2017–2026

22

Authors

172

  1. MH
    Martin Hemberg

    Wellcome Sanger Institute, United Kingdom

    2 publications · 113 citations

    2

    h-index

  2. TW
    Tongxin Wang

    Indiana University Bloomington, United States

    2 publications · 165 citations

    2

    h-index

  3. ZL
    Zixiao Lu

    Southern Medical University, China

    2 publications · 165 citations

    2

    h-index

  4. VY
    Vladimir Yu Kiselev

    Wellcome Sanger Institute, United Kingdom

    2 publications · 113 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 172

Venues

  1. Bioinformatics

    5 publications · 163 citations

    5

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 74 citations

    4

    h-index

  3. Nature Communications

    3 publications · 220 citations

    3

    h-index

  4. BMC Genomics

    2 publications · 94 citations

    2

    h-index

  5. PLoS ONE

    2 publications · 63 citations

    2

    h-index

1–5