Super-resolved spatial transcriptomics by deep data fusion
- Authors
- Publication Date
- Nov 29, 2021
- Source
- Lirias
- Keywords
- License
- Unknown
- External links
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. / status: published
