Star Protocols: Transformer and graph variational autoencoder to identify microenvironments: A deep learning protocol for spatial transcriptomics (Chen)
January 6, 2026
Karla Paniagua 1 8, Yufei Huang 2 3 4, Shou-jiang Gao 2 5, Yidong Chen 6 7, Yu-Fang Jin 1, Mario Flores 1 9 Highlights Workflow to build spatial objects linking stitched images with transcriptomics data Steps to apply the transformer and GraphVAE for spatial and contextual tissue modeling Guide to merge gene expression and histology data into one spatial framework. Instructions for clustering and deconvolution to map tumor niches at the single-cell level Summary We present a [...]
