Joint modeling of multi-timepoint spatial observations for time-resolved spatial-unit-specific gene regulatory network inference

Abstract excerpt

<h4>Background</h4> How gene regulatory programs reorganize across space and time is central to development and disease, but current methods infer regulatory structure from single snapshots. The emergence of spatiotemporal transcriptomics calls for methods that resolve regulation along both axes. <h4>Results</h4> We introduce SpaTemGRN, which jointly models observations from multi-timepoint slides in spatiotempo...

Topics

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• Astrocytes
• Cell Lineage
• Cerebral Cortex
• Chromatin
• Deep Learning
• Glutamates
• Regulatory Sequences, Nucleic Acid
• Single-Cell Analysis

Identifiers and source

Literature Corpus work

9f2737bf-5046-5793-b690-2eecead78fa0

DOI

10.64898/2026.07.28.738702