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MAGNET: Multi-view graph autoencoder with cell-gene attention for cell interaction network reconstruction from spatial transcriptomics

Fig 7

MAGNET reconstructs spatially organized intercellular communication in the mouse brain.

(A) Manual annotation of major anatomical regions (CTX, HPF, CP, TH, HY, NFT). (B) Reconstructed ligand–receptor interaction networks showing intracluster (left) and intercluster (right) signaling patterns. (C) Spatial distance distribution of interaction edges. (D) Edge counts by distance bin and the cumulative distribution function (CDF) of distances. (E) Node-level topology: distributions of cell degree and closeness centrality, highlighting local communication hubs. (F) Cell-type composition of hubs (degree > 10) and non-hubs. (G) Per-cluster comparison of five hubs and five non-hubs. Left: for each cluster, we compare the distribution of linked neighbor clusters for hubs versus non-hubs. Right: for each cluster, we compare normalized gene-expression between hubs and non-hubs.

Fig 7

doi: https://doi.org/10.1371/journal.pcbi.1013810.g007