Relation equivariant graph neural networks to explore the mosaic-like tissue architecture of kidney diseases on spatially resolved transcriptomics.
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| Title: | Relation equivariant graph neural networks to explore the mosaic-like tissue architecture of kidney diseases on spatially resolved transcriptomics. |
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| Authors: | Raina M; Department of Biomedical Engineering and Informatics, Indiana University Indianapolis, Indianapolis, IN 46202, United States., Cheng H; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, United States., Ferreira RM; Department of Medicine, Indiana University, Indianapolis, IN 46202, United States., Stansfield T; Department of Biomedical Engineering and Informatics, Indiana University Indianapolis, Indianapolis, IN 46202, United States., Modak C; Department of Biomedical Engineering and Informatics, Indiana University Indianapolis, Indianapolis, IN 46202, United States., Cheng YH; Department of Medicine, Indiana University, Indianapolis, IN 46202, United States., Suryadevara HNSK; Department of Biomedical Engineering and Informatics, Indiana University Indianapolis, Indianapolis, IN 46202, United States., Xu D; Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, United States., Eadon MT; Department of Medicine, Indiana University, Indianapolis, IN 46202, United States., Ma Q; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, United States., Wang J; Department of Biomedical Engineering and Informatics, Indiana University Indianapolis, Indianapolis, IN 46202, United States. |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2025 Jun 02; Vol. 41 (6). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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