AddaGCN: Spatial transcriptomics deconvolution using graph convolutional networks with adversarial discriminative domain adaptation

PLoS Computational Biology · Published 2026-08-05 · DOI 10.1371/journal.pcbi.1014609

Free full text

Authors (3)

Shuzhen Ding, Zhou Yu, Jingsi Ming

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Ding, S., Yu, Z., Ming, J. (2026). AddaGCN: Spatial transcriptomics deconvolution using graph convolutional networks with adversarial discriminative domain adaptation. PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.1014609

Related articles

• Motif-cluster: Motif driven prioritization of transcription factor binding clusters · PLoS Computational Biology · 2026 · Same journal
• Quantifying the spatiotemporal mechanical dynamics of engineered cardiac microbundles · PLoS Computational Biology · 2026 · Same journal
• Sleep slow oscillation emergence on the scalp as a renewal point process · PLoS Computational Biology · 2026 · Same journal
• ClusterApp to visualize, organize, and navigate metabolomics data · PLoS Computational Biology · 2026 · Same journal
• Catheter configuration for mapping micro-anatomic reentries sustaining atrial fibrillation: A simulation study · PLoS Computational Biology · 2026 · Same journal
• A parallel dual-stream state-space module for reliable and efficient biomedical relation extraction · PLoS Computational Biology · 2026 · Same journal
• Closed-loop real-virtual interactions validate 3D model of social coordination in fish · PLoS Computational Biology · 2026 · Same journal
• Prolines in linkers of multi-domain proteins: Intrinsic regulators of misfolding and aggregation · PLoS Computational Biology · 2026 · Same journal
• Body surface potential driven personalisation of electrophysiological digital twins in hypertrophic cardiomyopathy · PLoS Computational Biology · 2026 · Same journal
• Twelve quick tips for AI-assisted coding in science · PLoS Computational Biology · 2026 · Same journal