Batch Correction Metrics

Batch Correction Metrics is a quantitative evaluation framework used in bioinformatics to assess the effectiveness of batch effect removal by measuring the degree of technical variation reduction while preserving biological signal integrity across datasets.

14

Publications

1.2K

Citations

61

Authors

25

Institutions

Publications per year

2017–2026

9

Authors

61

  1. ES
    Ellen Su

    Broad Institute, United States

    2 publications · 90 citations

    2

    h-index

  2. AE
    Anne E. Carpenter

    Broad Institute, United States

    2 publications · 90 citations

    2

    h-index

  3. JA
    John Arévalo

    Universidad Nacional de Colombia, Colombia

    2 publications · 90 citations

    2

    h-index

  4. SS
    Shantanu Singh

    Broad Institute, United States

    2 publications · 90 citations

    2

    h-index

  5. TB
    Tushar Bhangale

    Harvard University, United States

    1 publications · 68 citations

    1

    h-index

1–5 of 61

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 46 citations

    2

    h-index

  2. Statistics in Biosciences

    SIB · 1 publications · 31 citations

    1

    h-index

  3. Food Control

    1 publications · 12 citations

    1

    h-index

  4. Methods in molecular biology

    Book series · 1 publications · 48 citations

    1

    h-index

  5. PLoS ONE

    1 publications · 592 citations

    1

    h-index

1–5