Batch Effect Robustness

Batch Effect Robustness is a methodological property of a cell-type deconvolution approach that ensures accurate and consistent cell-type proportion estimates across distinct experimental batches by minimizing systematic technical variation while preserving biological signal.

91

Publications

6.3K

Citations

572

Authors

266

Institutions

Publications per year

2017–2026

72

Authors

572

  1. XL
    Xiangjie Li

    Northwestern Polytechnical University, China

    4 publications · 602 citations

    4

    h-index

  2. WW
    Wilson Wen Bin Goh

    Nanyang Technological University, Singapore

    3 publications · 257 citations

    3

    h-index

  3. GH
    Gang Hu

    Nankai University, China

    3 publications · 520 citations

    3

    h-index

  4. ML
    Mingyao Li

    University of Pennsylvania, United States

    3 publications · 520 citations

    3

    h-index

  5. KL
    Kim‐Anh Lê Cao

    The University of Queensland, Australia

    3 publications · 285 citations

    3

    h-index

1–5 of 572

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 152 citations

    8

    h-index

  2. Nature Communications

    7 publications · 745 citations

    7

    h-index

  3. Briefings in Bioinformatics

    6 publications · 323 citations

    6

    h-index

  4. Bioinformatics

    6 publications · 434 citations

    6

    h-index

  5. PLoS ONE

    6 publications · 245 citations

    6

    h-index

1–5