This repository hosts the resources needed to run GreS, a graph-based framework that incorporates gene-level semantic priors into spatial representation learning for spatial domain identification.
It contains two parts:
embeddings/ — pretrained gene embeddings and vocabulary used to build per-spot semantic descriptors.
DLPFC/ — example 10x Visium spatial transcriptomics data (human dorsolateral prefrontal… See the full description on the dataset page:
https://huggingface.co/datasets/ylu99/Gres.
