Binary-SPA: A Reference-Free Method for Cell Annotation in High-Resolution Spatial Transcriptomics

Abstract excerpt

Accurate cell type annotation remains a major challenge in high-resolution spatial transcriptomics analysis. Current approaches primarily rely on label transfer from single-cell RNA sequencing (scRNA-seq) reference datasets or marker-based annotation of transcriptionally defined clusters. While these methods are widely used, they have critical limitations. Label transfer approaches depend on the availability of a...

Topics

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• Data Analysis
• Exome Sequencing
• Gene Expression Profiling
• Phenotype
• Sequence Analysis, RNA
• Single-Cell Analysis
• Single-cell and spatial transcriptomics
• Transcriptome

Identifiers and source

Literature Corpus work

538962c8-33e9-5f1f-9452-b7b5cb0bba0b

DOI

10.64898/2026.03.17.712369