Article

Exploring transcriptomic and genomic latent variable correction approaches in differential expression analysis

2026-04-08

Abstract excerpt

<h4>Background</h4> Differential expression analysis is a central tool for studying the biological processes altered in human diseases via transcriptomic signatures. However, transcriptomic datasets are systematically confounded by latent variables from two distinct sources: unmeasured technical and biological heterogeneity within the expression data, and expression differences driven by population stratification...

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Literature Corpus work: f3f83dca-2c32-5026-a03b-c88ad5be7fb2
DOI: 10.64898/2026.04.07.716914

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