STHD: probabilistic cell typing of single Spots in whole Transcriptome spatial data with High Definition

Abstract excerpt

Recent spatial transcriptomics (ST) technologies have enabled single- and sub-cellular resolution profiling of gene expression across the whole transcriptome. However, the transition to high-definition ST significantly increased data sparsity and dimensionality, posing computational challenges in identifying cell types, deciphering neighborhood structure, and detecting differential expression - all are crucial ste...

Topics

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• Algorithms
• Cell Line
• Cluster Analysis
• Image Processing, Computer-Assisted
• Machine Learning
• Neural Networks, Computer
• Phenotype
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

7a042fe6-59fe-59e8-8e90-9a616bb8d04b

DOI

10.1101/2024.06.20.599803