Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
January 24, 2026Small Methods

M‐STGCN: A Position‐Aware Multimodal Graph Convolutional Framework for Joint Spatial Domain Identification and Gene Expression Denoising

View Full Paper
Ask AI
Bookmark
Share

Authors

XCXin ChenCLChaowen LiQZQirui Zhou

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69756609d5e0d64addde863ehttps://doi.org/10.1002/smtd.202501812
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Multi-scale Fused Graph Neural Network with Inter-view Contrastive Learning for Spatial Transcriptomics Data Clustering2025
  2. 2Hypergraph Neural Networks Reveal Spatial Domains from Single-cell Transcriptomics Data2025 · 2 citations
  3. 3Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation2025 · 1 citations
  4. 4SAGE: Spatially Aware Gene Selection and Dual‐View Embedding Fusion for Domain Identification in Spatial Transcriptomics2026
  5. 5HarveST: Heterogeneous Graph Learning Framework for Revealing Spatial Transcriptomics Patterns2025