Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses.
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| Title: | Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses. |
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| Authors: | Wang J; Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA., Ma A; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA., Chang Y; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA., Gong J; Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA., Jiang Y; Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA., Qi R; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA., Wang C; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA., Fu H; Department of Neuroscience, The Ohio State University, Columbus, OH, USA., Ma Q; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA. qin.ma@osumc.edu., Xu D; Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA. xudong@missouri.edu. |
| Source: | Nature communications [Nat Commun] 2022 May 04; Vol. 13 (1), pp. 2554. Date of Electronic Publication: 2022 May 04. |
| Publication Type: | Published Erratum |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-022-30331-6 |
