Response to comments on "SpatialDG: a novel spatial domain identification method for spatially resolved transcriptomics data based on dual-graph neural network"
Related Experiment Video
Updated: Nov 8, 2026

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Mining Spatial Transcriptomics Datasets using DeepSpaceDB
Published on: September 5, 2025
Jiahui Wu1, Ayomide Oshinjo1, Valerio Izzi1
1Faculty of Biochemistry and Molecular Medicine, University of Oulu, Aapistie 7A, 90014 Oulu, Finland.
Briefings in Bioinformatics
|November 6, 2026
Abstract:
We respond to concerns regarding reference-label-informed epoch selection in SpatialDG. We acknowledge this limitation and report a matched DLPFC reevaluation of SpatialDG and Spatial-MGCN under the same reference-label-independent checkpoint-selection rule, in which SpatialDG achieved the higher three-seed mean ARI on all 12 slices.
