Erratum: SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data (PLoS Comput Biol. (2021) 17:6 (e1009118) DOI: 10.1371/journal.pcbi.1009118)

Jing Qi; Yang Zhou; Zicen Zhao; Shuilin Jin

doi:10.1371/journal.pcbi.1009770

Erratum: SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data (PLoS Comput Biol. (2021) 17:6 (e1009118) DOI: 10.1371/journal.pcbi.1009118)

Jing Qi
, Yang Zhou
, Zicen Zhao
, Shuilin Jin

School of Mathematics

Research output: Contribution to journal › Comment/debate

1 Scopus citations

Abstract

There is an error in Figs 3 and 5.

Original language	English
Article number	e1009770
Journal	PLOS Computational Biology
Volume	18
Issue number	1
DOIs	https://doi.org/10.1371/journal.pcbi.1009770
State	Published - Jan 2022

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title = "Erratum: SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data (PLoS Comput Biol. (2021) 17:6 (e1009118) DOI: 10.1371/journal.pcbi.1009118)",

abstract = "There is an error in Figs 3 and 5.",

author = "Jing Qi and Yang Zhou and Zicen Zhao and Shuilin Jin",

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Erratum: SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data (PLoS Comput Biol. (2021) 17:6 (e1009118) DOI: 10.1371/journal.pcbi.1009118). / Qi, Jing; Zhou, Yang; Zhao, Zicen et al.
In: PLOS Computational Biology, Vol. 18, No. 1, e1009770, 01.2022.

Research output: Contribution to journal › Comment/debate

TY - JOUR

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T2 - SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data (PLoS Comput Biol. (2021) 17:6 (e1009118) DOI: 10.1371/journal.pcbi.1009118)

AU - Qi, Jing

AU - Zhou, Yang

AU - Zhao, Zicen

AU - Jin, Shuilin

N1 - Publisher Copyright: Copyright: © 2022 Qi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PY - 2022/1

Y1 - 2022/1

N2 - There is an error in Figs 3 and 5.

AB - There is an error in Figs 3 and 5.

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DO - 10.1371/journal.pcbi.1009770

M3 - 评论/辩论

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Erratum: SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data (PLoS Comput Biol. (2021) 17:6 (e1009118) DOI: 10.1371/journal.pcbi.1009118)

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