Metadata-Version: 2.1
Name: SpatialGlue
Version: 1.0.9
Summary: Deciphering spatial domains from spatial multi-omics with SpatialGlue
Home-page: https://github.com/JinmiaoChenLab/SpatialGlue
Author: Yahui Long
Author-email: longyh@immunol.a-star.edu.sg
License: MIT
Description-Content-Type: text/markdown
License-File: LICENSE.md

Integration of multiple data modalities in a spatially informed manner remains an unmet need for exploiting spatial multi-omics data. Here, we introduce SpatialGlue, a novel graph neural network with dual-attention mechanism, to decipher spatial domains by intra-omics integration of spatial location and omics measurement followed by cross-omics integration. We demonstrate that SpatialGlue can more accurately resolve spatial domains at a higher resolution across different tissue types and technology platforms, to enable biological insights into cross-modality spatial correlations. SpatialGlue is computation resource efficient and can be applied for data from various spatial multi-omics technological platforms, including Spatial-epigenome-transcriptome, Stereo-CITE-seq, SPOTS, and 10x Visium. Next, we will extend SpatialGlue to more platforms, such as 10x Genomics Xenium and Nanostring CosMx. 
