Residual Batch Effect Evaluation

Residual Batch Effect Evaluation is a methodological procedure in batch effect correction that assesses the persistence of technical artifacts in integrated datasets after normalization, distinguishing itself by quantifying the extent to which batch-specific variations remain unaddressed despite harmonization efforts.

5

Publications

186

Citations

22

Authors

14

Institutions

Publications per year

2017–2026

4

Authors

22

  1. MR
    Michael R. Skilton

    The University of Sydney, Australia

    1 publications · 46 citations

    1

    h-index

  2. XH
    Xiying Hao

    Agriculture and Agri-Food Canada, Canada

    1 publications · 11 citations

    1

    h-index

  3. MP
    Melinda Phang

    University of Newcastle Australia, Australia

    1 publications · 46 citations

    1

    h-index

  4. VP
    Vaijayanti Pethe

    Lunenfeld-Tanenbaum Research Institute, Canada

    1 publications · 13 citations

    1

    h-index

  5. JČ
    Jelena Čuklina

    Institute for Information Transmission Problems, Russia

    1 publications · 48 citations

    1

    h-index

1–5 of 22

Venues

  1. Clinical Epigenetics

    1 publications · 46 citations

    1

    h-index

  2. Methods in molecular biology

    Book series · 1 publications · 48 citations

    1

    h-index

  3. Analytica Chimica Acta

    1 publications · 68 citations

    1

    h-index

  4. Water Science & Technology

    1 publications · 11 citations

    1

    h-index

  5. Molecular Informatics

    1 publications · 13 citations

    1

    h-index

1–5