scROMA: batch-aware pathway-activity inference and a ground-truth simulation framework for single-cell transcriptomics
Background: Pathway-activity analysis summarizes gene-level single-cell measurements into interpretable functional modules, but widely used methods lack an integrated significance framework, do not account for the batch effects that pervade multi-sample studies, and are not natively interoperable with Python- based workflows. The field also lacks simulation resources with ground-truth pathway…
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