Spatial transcriptomics AI agent charts hPSC-pancreas maturation <i>in vivo</i>

Abstract excerpt

Spatial transcriptomics has revolutionized our understanding of tissue organization by simultaneously capturing gene expression and spatial localization within intact tissues. However, analyzing these increasingly complex datasets requires specialized expertise across computational biology, statistics, and biological context. To address this challenge, we introduce the Spatial Transcriptomics AI Agent (STAgent), a...

Topics

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• Biomarkers, Tumor
• Gene Expression Profiling
• Machine Learning
• Neoplasms
• Pancreatic and Hepatic Oncology Research
• Phenotype
• Single-cell and spatial transcriptomics
• Transcriptome

Identifiers and source

Literature Corpus work

bba413e0-cee9-5af0-9148-9a27b0c8deec

DOI

10.1101/2025.04.01.646731