Article

Enhancement of Network Architecture Alignment in Comparative Single-Cell Studies

2024-10-06

Abstract excerpt

Animal data can provide meaningful context for human gene expression at the single-cell level. This can improve cell-type detection and clarify how well animal models represent human biology. To achieve this, we propose a deep learning approach that identifies a unified latent space to map complex patterns between datasets. The proposed method is tested to facilitate information transfer in liver, adipose tissue,...

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Literature Corpus work: 5e8f568d-a633-5150-85bd-100e3e94d71c
DOI: 10.32388/d37aff

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