Frontiers

DWGCN: distance-weighted graph convolutional network for robust spatial domain identification in spatial transcriptomics

Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...
Frontiers

Integrated single-cell and spatial transcriptomics reveal the differentiation drivers of gastric epithelial lineage progression

Gastric cancer (GC) develops through a sequence from chronic gastritis to intestinal metaplasia (IM) and carcinoma, with Helicobacter pylori (HP) as a key driver; however, the molecular mediators ...
IEEE

Cluster-guided contrastive learning with masked autoencoder for spatial domain identification based on spatial transcriptomics

Abstract: Recent advancements in spatial transcriptomics technology have enabled the capture of gene expression profiles while maintaining spatial information. Accurately identifying spatial ...
Cancer Research

American Association for Cancer Research

This open access article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This work is licensed under a Creative Commons Attribution 4.0 International ...
IEEE

Prototype-Calibrated Multimodal Fusion with Relational Consistency for Spatial Domain Identification in Spatial Transcriptomics

Abstract: Spatial transcriptomics technologies produce rich multimodal data, including gene expression profiles, spatial coordinates, and histological images, offering unprecedented opportunities to ...