Batch Alignment

Batch Alignment is a computational method within batch effect correction that integrates multiple biological datasets by aligning their feature distributions to minimize technical variation while preserving biological heterogeneity.

21

Publications

1.9K

Citations

75

Authors

36

Institutions

Publications per year

2017–2026

10

Authors

75

  1. CH
    Chi Hay Tong

    University of Toronto, Canada

    3 publications · 63 citations

    3

    h-index

  2. TD
    Timothy D. Barfoot

    University of Toronto, Canada

    3 publications · 63 citations

    3

    h-index

  3. JP
    Jong-Eun Park

    Wellcome Sanger Institute, United Kingdom

    2 publications · 1K citations

    2

    h-index

  4. GP
    Givanna Putri

    The University of Sydney, Australia

    2 publications · 220 citations

    2

    h-index

  5. DS
    Diana Shinko

    The University of Sydney, Australia

    2 publications · 220 citations

    2

    h-index

1–5 of 75

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 98 citations

    4

    h-index

  2. Bioinformatics

    3 publications · 1.1K citations

    3

    h-index

  3. Journal of Field Robotics

    JFR · 1 publications · 35 citations

    1

    h-index

  4. Journal of Process Control

    1 publications · 19 citations

    1

    h-index

  5. Nature Communications

    1 publications · 82 citations

    1

    h-index

1–5