Info

This is an example of using very cool Deep Learning tool - XFuse - to super-resolve Spatial Transcriptomics by fusing H&E image with Spatial data.

Overview of ST data analysis approach

details are in R or Rmd scripts, and xfuse input file

XFuse gene-maps on 10X Visium Heart section publicly available

instructions to pre-process data are on xfuse repo

XFuse gene-maps on Seurat SCTransformed count data (same heart data)

details on SCTransform - orignal repo, publication, and Seurat Spatial Vignette

Other xfuse gene-maps can be found in folders:

images and on SCTransformed images_sct