Super-resolved spatial transcriptomics by deep data fusion.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 34845373.
- Also identified by DOI 10.1038/s41587-021-01075-3.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Current methods for spatial transcriptomics are limited by low spatial resolution. Here we introduce a method that integrates spatial gene expression data with histological image data from the same tissue section to infer higher-resolution expression maps. Using a deep generative model, our method characterizes the transcriptome of micrometer-scale anatomical features and can predict spatial gene expression from histology images alone.
Medical subject headings
- Transcriptome