SpaTM: Topic Models for Inferring Spatially Informed Transcriptional Programs

Abstract excerpt

<h4>Background</h4> Spatial transcriptomics has revolutionized our ability to characterize tissues and diseases by contextualizing gene expression with spatial organization. Current spatial transcriptomics pipelines require researchers to use a variety of models and tools to explore spatial domains. However, few methods provide researchers with a way to jointly analyze spatial data from both annotation-free and a...

Topics

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• Biomarkers, Tumor
• Ferroptosis and cancer prognosis
• Gene Expression Profiling
• Machine Learning
• Neoplasms
• Phenotype
• Single-cell and spatial transcriptomics
• Transcriptome

Identifiers and source

Literature Corpus work

c937fa12-9cb9-5a1f-baae-81d0d70e1801

DOI

10.1101/2025.01.24.634726