Article

BatchVaria: a variance-aware framework for evaluating batch correction in high-dimensional omics data

2026-05-12

Abstract excerpt

<h4>Summary</h4> Batch effects and other unwanted technical sources of variation remain a persistent challenge in the integrative analysis of high-dimensional-omics data. Although established methods such as ComBat effectively mitigate batch-associated signal, their impact on biologically meaningful variation is frequently evaluated in an ad hoc and non-quantitative manner. This is particularly problematic in het...

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Literature Corpus work: 3f568e59-a672-5407-a835-505c65548054
DOI: 10.64898/2026.05.07.721996

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