Article

STARNet enables spatially resolved inference of gene regulatory networks from spatial multi-omics data

2025-08-25

Abstract excerpt

Biological tissues are composed of distinct microenvironments that spatially orchestrate gene expression and cell identity. However, the regulatory principles governing domain-specific cellular functions remain poorly understood due to the lack of effective methods for mapping gene regulatory networks (GRNs) in situ . To address this gap, we introduce STARNet, a representation learning approach that leverages het...

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Literature Corpus work: 6f060ce2-2b40-59e9-8383-97451ec042e3
DOI: 10.1101/2025.08.21.671434

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