Identification of high-risk cells in single-cell spatially resolved transcriptomics data using Diagnostic Evidence GAuge of Single-cells with spatial smoothing.
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| Title: | Identification of high-risk cells in single-cell spatially resolved transcriptomics data using Diagnostic Evidence GAuge of Single-cells with spatial smoothing. |
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| Authors: | Chatterjee D; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, 46202, United States., Couetil JL; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, United States.; Indiana Clinical and Translational Sciences Institute, Indianapolis, IN, 46202, United States., Liu Z; Department of Statistics, Purdue University, West Lafayette, IN, 47907, United States., Huang K; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, 46202, United States.; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, United States.; Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, 46202, United States.; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, United States., Chen C; Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, 11794, United States., Zhang J; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, United States.; Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, 46202, United States.; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, United States., Kalwat MA; Indiana Biosciences Research Institute, Indianapolis, IN, 46202, United States.; Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, 46202, United States.; Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, United States., Johnson TS; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, 46202, United States.; Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, 46202, United States.; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, United States.; Indiana Biosciences Research Institute, Indianapolis, IN, 46202, United States. |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2026 May 03; Vol. 42 (5). |
| 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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| ISSN: | 1367-4811 |
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| DOI: | 10.1093/bioinformatics/btag098 |
