Batch correction for large-scale mass spectrometry imaging experiments

2026 · doi:10.64898/2026.01.30.702769
preprint OA: closed
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Summary We assess batch correction methods for MALDI mass spectrometry imaging experiments. ComBAT reduced batch-related technical variance, maintained biological variation, and improved the overall score by 19.4%. Availability and implementation Methods are available in R. comBAT is used through the “sva” package while Harmony, CCA, FastMNN are available in the “Seurat” package https://github.com/satijalab/seurat. scVI, scANVI are Scanorama are available in the Python programming language and through github: https://github.com/scverse/scvi-tools. Competing Interest Statement The authors have declared no competing interest. Footnotes Contact information: aabil{at}sdu.dk, phone + 45 40 15 92 11, jenseno{at}bmb.sdu.dk, phone: + 45 60 11 23 68 https://www.medrxiv.org/content/10.64898/2026.01.13.26343935v1

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last seen: 2026-05-20T01:45:00.602351+00:00