Φ-Space ST: a platform-agnostic method to identify cell states in spatial transcriptomics studies

Abstract excerpt

We introduce Φ-Space ST, a platform-agnostic method to identify continuous cell states in spatial transcriptomics (ST) data using multiple scRNA-seq references. For ST with supercellular resolution, Φ-Space ST achieves interpretable cell type deconvolution with significantly faster computation. For subcellular resolution, Φ-Space ST annotates cell states without cell segmentation, leading to highly insightful spat...

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• B-Lymphocytes
• Endothelial Cells
• Lung
• Myeloid Cells
• Sequence Analysis, RNA
• Single-Cell Analysis
• Stromal Cells
• Tumor Microenvironment

Identifiers and source

Literature Corpus work

89663cbe-4322-5694-bf5f-d36acb213aec

DOI

10.1101/2025.02.05.636735