aDepartment of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA bDivision of Molecular Psychiatry, Department of Psychiatry, Yale University School of Medicine, ...
Abstract: Spatial Transcriptomics offers unprecedented opportunities to explore tissue architecture by capturing gene expression with spatial context. However, effectively learning discriminative and ...
1Department of Physiology, Ajou University School of Medicine, Suwon, Korea, Rep.
Abstract: Spatial transcriptomics has revolutionized the ability to investigate transcriptional patterns within tissue morphology. However, many ST clustering pipelines operate on a single preselected ...
A new software tool, ovrlpy, improves quality control in spatial transcriptomics, a key technology in biomedical research. Developed by the Berlin Institute of Health at Charité (BIH) in international ...
Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...
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 ...
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 ...
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