Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

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Wang2022Author-CCBY.pdf (632.58 KB)
Date
2022-05-04
Authors
Wang, Juexin
Ma, Anjun
Chang, Yuzhou
Gong, Jianting
Jiang, Yuexu
Qi, Ren
Wang, Cankun
Fu, Hongjun
Ma, Qin
Xu, Dong
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American English
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Biomedical Engineering and Informatics, Luddy School of Informatics, Computing, and Engineering
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Springer Nature
Abstract

Correction to: Nature Communications 10.1038/s41467-021-22197-x, published online 25 March 2021.

In Figure 2, panels (a) and (b) were inadvertently swapped. The correct version of this figure appears below. This has been corrected in the HTML and PDF version of this article.

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Computational models, Machine learning, Software
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Wang J, Ma A, Chang Y, et al. Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses. Nat Commun. 2022;13(1):2554. Published 2022 May 4. doi:10.1038/s41467-022-30331-6
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Nature Communications
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Attribution 4.0 International Creative Commons licenses
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Article
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https://hdl.handle.net/1805/46277
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https://doi.org/10.1038/s41467-022-30331-6
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