A novel batch effect correction framework for robust integration of high-variance data via a global-information virtual reference batch.

Liu Y, Du L, Jiang J, Tong X, Xu J, Wang J, Lai X

DOI: 10.3389/fmicb.2026.1877381
Published: 2026
Container: Frontiers in microbiology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fmicb.2026.1877381,
  title = {A novel batch effect correction framework for robust integration of high-variance data via a global-information virtual reference batch.},
  author = {Liu Y and Du L and Jiang J and Tong X and Xu J and Wang J and Lai X},
  year = {2026},
  journal = {Frontiers in microbiology},
  doi = {10.3389/fmicb.2026.1877381},
  url = {https://doi.org/10.3389/fmicb.2026.1877381}
}

RIS

TY  - JOUR
TI  - A novel batch effect correction framework for robust integration of high-variance data via a global-information virtual reference batch.
AU  - Liu Y
AU  - Du L
AU  - Jiang J
AU  - Tong X
AU  - Xu J
AU  - Wang J
AU  - Lai X
PY  - 2026
JO  - Frontiers in microbiology
DO  - 10.3389/fmicb.2026.1877381
UR  - https://doi.org/10.3389/fmicb.2026.1877381
ER  -

APA

Y, L., L, D., J, J., X, T., J, X., J, W., & X, L. (2026). A novel batch effect correction framework for robust integration of high-variance data via a global-information virtual reference batch.. Frontiers in microbiology. https://doi.org/10.3389/fmicb.2026.1877381

Source records

pubmed · retrieved 2026-09-24T20:47:33.436Z