Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses (Nature Communications, (2021), 12, 1, (1882), 10.1038/s41467-021-22197-x)

Juexin Wang; Anjun Ma; Yuzhou Chang; Jianting Gong; Yuexu Jiang; Ren Qi; Cankun Wang; Hongjun Fu; Qin Ma; Dong Xu

doi:10.1038/s41467-022-30331-6

Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses (Nature Communications, (2021), 12, 1, (1882), 10.1038/s41467-021-22197-x)

Juexin Wang
, Anjun Ma
, Yuzhou Chang
, Jianting Gong
, Yuexu Jiang
, Ren Qi
, Cankun Wang
, Hongjun Fu
, Qin Ma^*
, Dong Xu^*

^*Corresponding author for this work

Research output: Contribution to journal › Comment/debate

6 Citations (Scopus)

Abstract

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.

Original language	English
Article number	2554
Journal	Nature Communications
Volume	13
Issue number	1
DOIs	https://doi.org/10.1038/s41467-022-30331-6
Publication status	Published - Dec 2022
Externally published	Yes

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10.1038/s41467-022-30331-6

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title = "Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses (Nature Communications, (2021), 12, 1, (1882), 10.1038/s41467-021-22197-x)",

abstract = "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.",

author = "Juexin Wang and Anjun Ma and Yuzhou Chang and Jianting Gong and Yuexu Jiang and Ren Qi and Cankun Wang and Hongjun Fu and Qin Ma and Dong Xu",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",

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doi = "10.1038/s41467-022-30331-6",

language = "English",

volume = "13",

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T2 - scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses (Nature Communications, (2021), 12, 1, (1882), 10.1038/s41467-021-22197-x)

AU - Wang, Juexin

AU - Ma, Anjun

AU - Chang, Yuzhou

AU - Gong, Jianting

AU - Jiang, Yuexu

AU - Qi, Ren

AU - Wang, Cankun

AU - Fu, Hongjun

AU - Ma, Qin

AU - Xu, Dong

PY - 2022/12

Y1 - 2022/12

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85129400014

U2 - 10.1038/s41467-022-30331-6

DO - 10.1038/s41467-022-30331-6

M3 - Comment/debate

C2 - 35508488

AN - SCOPUS:85129400014

SN - 2041-1723

VL - 13

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 2554

ER -

Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses (Nature Communications, (2021), 12, 1, (1882), 10.1038/s41467-021-22197-x)

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