Spatial-DC: a robust deep learning-based method for deconvolution of spatial proteomics

Abstract excerpt

Spatial proteomics studies the spatial distribution of proteins within cells or tissues, providing a new perspective for comprehending cellular processes and disease mechanisms. One important challenge of current spatial proteomics technologies is low resolution, resulting in multiple cells in each spatial proteomics spot. While methods have been proposed to infer the composition of potential cell types in such sp...

Topics

Open a Topic to create a Post that cites this publication.

• Biomarkers, Tumor
• Gene Expression
• Gene Expression Profiling
• Image Processing, Computer-Assisted
• Machine Learning
• Neoplasms
• Neural Networks, Computer
• Phenotype

Identifiers and source

Literature Corpus work

98fc6c38-2028-51b6-9f3a-424734525bb2

DOI

10.1101/2024.12.18.629082