Technical Variation Correction

Technical Variation Correction is a methodological approach in data preprocessing that specifically addresses and removes unwanted variations introduced by technical factors—such as batch effects, measurement instruments, or experimental conditions—while preserving biological or meaningful biological signals in high-throughput experimental data.

90

Publications

17.9K

Citations

492

Authors

245

Institutions

Publications per year

2017–2026

43

Authors

492

  1. RA
    Rafael A. Irizarry

    Johns Hopkins University, United States

    4 publications · 321 citations

    4

    h-index

  2. SC
    Stephanie C. Hicks

    Johns Hopkins University, United States

    4 publications · 321 citations

    4

    h-index

  3. JQ
    John Quackenbush

    Dana-Farber Cancer Institute, United States

    3 publications · 281 citations

    3

    h-index

  4. CJ
    Chiaowen Joyce Hsiao

    Moderna Therapeutics (United States), United States

    2 publications · 438 citations

    2

    h-index

  5. ED
    Emanuele Di Angelantonio

    University of Cambridge, United Kingdom

    2 publications · 202 citations

    2

    h-index

1–5 of 492

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 9 publications · 493 citations

    9

    h-index

  2. Genome biology

    7 publications · 4.5K citations

    7

    h-index

  3. BMC Bioinformatics

    7 publications · 373 citations

    7

    h-index

  4. PLoS ONE

    6 publications · 282 citations

    6

    h-index

  5. Nature Communications

    4 publications · 228 citations

    4

    h-index

1–5