spacedeconv: deconvolution of tissue architecture from spatial transcriptomics

Abstract excerpt

<title>Abstract</title> <p>Investigating tissue architecture is key to understanding tissue function in health and disease. While spatial omics technologies enable the study of cell transcriptomes within their native context, they often lack single-cell resolution. Deconvolution methods can computationally infer tissue composition from spatial transcriptomics data, but differences in their workflows complicate th...

Topics

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• Cancer Immunotherapy and Biomarkers
• Cell Image Analysis Techniques
• Ferroptosis and cancer prognosis
• Gene Expression Profiling
• Phenotype
• Single-cell and spatial transcriptomics
• Technology
• Transcriptome

Identifiers and source

Literature Corpus work

ed609ccf-b2e5-550b-b00a-627e8605030f

DOI

10.21203/rs.3.rs-5102166/v1