Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-05-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-30331-6 |
| _version_ | 1828344447344050176 |
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| author | Juexin Wang Anjun Ma Yuzhou Chang Jianting Gong Yuexu Jiang Ren Qi Cankun Wang Hongjun Fu Qin Ma Dong Xu |
| author_facet | Juexin Wang Anjun Ma Yuzhou Chang Jianting Gong Yuexu Jiang Ren Qi Cankun Wang Hongjun Fu Qin Ma Dong Xu |
| author_sort | Juexin Wang |
| collection | DOAJ |
| first_indexed | 2024-04-13T23:57:33Z |
| format | Article |
| id | doaj.art-78e74a0ff9174f978fe9668337ac608f |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-13T23:57:33Z |
| publishDate | 2022-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-78e74a0ff9174f978fe9668337ac608f2022-12-22T02:23:50ZengNature PortfolioNature Communications2041-17232022-05-011311210.1038/s41467-022-30331-6Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang0Anjun Ma1Yuzhou Chang2Jianting Gong3Yuexu Jiang4Ren Qi5Cankun Wang6Hongjun Fu7Qin Ma8Dong Xu9Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of MissouriDepartment of Biomedical Informatics, College of Medicine, The Ohio State UniversityDepartment of Biomedical Informatics, College of Medicine, The Ohio State UniversityDepartment of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of MissouriDepartment of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of MissouriDepartment of Biomedical Informatics, College of Medicine, The Ohio State UniversityDepartment of Biomedical Informatics, College of Medicine, The Ohio State UniversityDepartment of Neuroscience, The Ohio State UniversityDepartment of Biomedical Informatics, College of Medicine, The Ohio State UniversityDepartment of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missourihttps://doi.org/10.1038/s41467-022-30331-6 |
| spellingShingle | Juexin Wang Anjun Ma Yuzhou Chang Jianting Gong Yuexu Jiang Ren Qi Cankun Wang Hongjun Fu Qin Ma Dong Xu Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses Nature Communications |
| title | Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses |
| title_full | Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses |
| title_fullStr | Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses |
| title_full_unstemmed | Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses |
| title_short | Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses |
| title_sort | author correction scgnn is a novel graph neural network framework for single cell rna seq analyses |
| url | https://doi.org/10.1038/s41467-022-30331-6 |
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