Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...
Spatial omics is a new generation of technologies that allow scientists to study cells in their original location within tissues (without isolating or moving them from their environment). Just as a ...
Abstract: Recent advancements in spatial transcriptomics technology have enabled the capture of gene expression profiles while maintaining spatial information. Accurately identifying spatial ...
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 ...
Abstract: Spatial transcriptomics technologies produce rich multimodal data, including gene expression profiles, spatial coordinates, and histological images, offering unprecedented opportunities to ...
Dr. Hailing Shi to apply 3D spatial multi-omics to decode RNA regulation in the human brain and neurodegenerative diseases BOSTON, Jan. 28, 2026 /PRNewswire/ -- Stellaromics, a pioneer in ...
aDivision of Rheumatology, Department of Internal Medicine, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510630, China bDepartment of Endocrinology and Metabolism, ...
Foster City, Calif. | January 27, 2026 — Signios Bio today announced the launch of a new grant program supporting innovative spatial transcriptomics research using the 10x Genomics Xenium 5K Spatial ...
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