SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology

Abstract excerpt

<title>Abstract</title> <p>Recent technological advancements have enabled spatially resolved transcriptomic profiling but at multi-cellular resolution. The task of cell type deconvolution has been introduced to disentangle discrete cell types from such multi-cellular spots. However, existing datasets for cell type deconvolution are limited in scale, predominantly encompassing data on mice, and are not designed fo...

Topics

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• Ferroptosis and cancer prognosis
• Gene Expression
• Gene expression and cancer classification
• Image Processing, Computer-Assisted
• Neural Networks, Computer
• Phenotype
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

0ee15261-8db6-50e0-96ae-5aa061ea337c

DOI

10.21203/rs.3.rs-2826640/v1