DeepSpaceDB: a spatial transcriptomics atlas for interactive in-depth analysis of tissues and tissue microenvironments

Abstract excerpt

Spatial transcriptomics provides a revolutionary approach to mapping gene expression within tissues, offering critical insights into the spatial organization of cellular and molecular processes. However, generating new spatial transcriptomics data is expensive and technically demanding, and analyzing such data requires advanced bioinformatics expertise. While publicly available datasets are growing rapidly, existi...

Topics

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• Advanced Proteomics Techniques and Applications
• Bioinformatics and Genomic Networks
• Ferroptosis and cancer prognosis
• Gene Expression Profiling
• Phenotype
• Single-cell and spatial transcriptomics
• Technology
• Transcriptome

Identifiers and source

Literature Corpus work

c63e11dc-9ea0-5ea3-a9b5-5745575da7a5

DOI

10.1101/2025.01.05.631419