Article

Exploring group-specific technical variation patterns of single-cell data

2024-09-23

Abstract excerpt

Constructing single-cell atlases requires preserving differences attributable to biological variables, such as cell types, tissue origins, and disease states, while eliminating batch effects. However, existing methods are inadequate in explicitly modeling these biological variables. Here, we introduce SIGNAL, a general framework designed to disentangle biological and technical effects by learning group-specific te...

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Literature Corpus work: 1ef6675c-d3b3-506e-bebd-01ec9bb72115
DOI: 10.1101/2024.09.20.614043

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