Article

scDenorm: a denormalisation tool for integrating single-cell transcriptomics data

2025-05-15

Abstract excerpt

Integrating single-cell omics data at an atlas scale enhances our understanding of cell types and disease mechanisms. However, the integration of data processed by different normalisation methods can lead to biases, such as unexpected batch effects and gene expression distortion, leading to misinterpretations in downstream analysis. To address these challenges, we present scDenorm, an algorithm that reverts normal...

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Literature Corpus work: df3b5380-2f6e-52d8-9250-ceccd00ff116
DOI: 10.1101/2025.05.10.653289

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