MAGNET: Multi-view graph autoencoder with cell-gene attention for cell interaction network reconstruction from spatial transcriptomics
Fig 6
This Fig presents the MAGNET reconstructed cell-cell interaction network derived from spatial transcriptomic cancer data, highlighting potential roles in the tumor microenvironment.
It visualizes ligand–receptor interactions within individual clusters(A), while highlighting functional interactions between different clusters (B), and provides detailed insights into interactions among specific cell clusters at the level of Gene Expression Modules (GEMs) (C). The analysis is based on GEMs, showing the number of times and the flow values with which different clusters are connected through each GEM (D). Functional insights are provided through Gene Set Enrichment Analysis (GSEA) of key biological pathways (E). (F) shows representative gene signatures for each GEM.