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Nature Communications
(May 2022)
Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
Juexin Wang,
Anjun Ma,
Yuzhou Chang,
Jianting Gong,
Yuexu Jiang,
Ren Qi,
Cankun Wang,
Hongjun Fu,
Qin Ma,
Dong Xu
Affiliations
Juexin Wang
Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri
Anjun Ma
Department of Biomedical Informatics, College of Medicine, The Ohio State University
Yuzhou Chang
Department of Biomedical Informatics, College of Medicine, The Ohio State University
Jianting Gong
Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri
Yuexu Jiang
Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri
Ren Qi
Department of Biomedical Informatics, College of Medicine, The Ohio State University
Cankun Wang
Department of Biomedical Informatics, College of Medicine, The Ohio State University
Hongjun Fu
Department of Neuroscience, The Ohio State University
Qin Ma
Department of Biomedical Informatics, College of Medicine, The Ohio State University
Dong Xu
Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Sciences Center, University of Missouri
DOI
https://doi.org/10.1038/s41467-022-30331-6
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 2
Abstract
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No abstracts available.
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