Corrigendum: NCNet: Deep Learning Network Models for Predicting Function of Non-Coding DNA (Front. Genet., (2019), 10, (432), 10.3389/fgene.2019.00432)

Hanyu Zhang; Che Lun Hung; Meiyuan Liu; Xiaoye Hu; Yi Yang Lin

doi:10.3389/fgene.2019.00923

Corrigendum: NCNet: Deep Learning Network Models for Predicting Function of Non-Coding DNA (Front. Genet., (2019), 10, (432), 10.3389/fgene.2019.00432)

Hanyu Zhang, Che Lun Hung^*, Meiyuan Liu, Xiaoye Hu, Yi Yang Lin

^*Corresponding author for this work

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Comment/debate

5 Scopus citations

Abstract

In the published article, there was an error in affiliation “1.” The affiliation “Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China” should be moved to affiliation “7” and should be removed for the first and corresponding authors. Additionally, all subsequent affiliations should move up in order. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Original language	English
Article number	923
Journal	Frontiers in Genetics
Volume	10
DOIs	https://doi.org/10.3389/fgene.2019.00923
State	Published - 13 09 2019

Bibliographical note

Publisher Copyright:
© 2019 Zhang, Hung, Liu, Hu and Lin.

Keywords

LSTM
Non-coding DNA
deep learning
residual learning
sequence to sequence learning

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3389/fgene.2019.00923

Cite this

@article{96359692bb05482fa0ec7a886ddb5d2b,

title = "Corrigendum: NCNet: Deep Learning Network Models for Predicting Function of Non-Coding DNA (Front. Genet., (2019), 10, (432), 10.3389/fgene.2019.00432)",

abstract = "In the published article, there was an error in affiliation “1.” The affiliation “Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China” should be moved to affiliation “7” and should be removed for the first and corresponding authors. Additionally, all subsequent affiliations should move up in order. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.",

keywords = "LSTM, Non-coding DNA, deep learning, residual learning, sequence to sequence learning",

author = "Hanyu Zhang and Hung, {Che Lun} and Meiyuan Liu and Xiaoye Hu and Lin, {Yi Yang}",

note = "Publisher Copyright: {\textcopyright} 2019 Zhang, Hung, Liu, Hu and Lin.",

year = "2019",

month = sep,

day = "13",

doi = "10.3389/fgene.2019.00923",

language = "英语",

volume = "10",

journal = "Frontiers in Genetics",

issn = "1664-8021",

}

TY - JOUR

T1 - Corrigendum

T2 - NCNet: Deep Learning Network Models for Predicting Function of Non-Coding DNA (Front. Genet., (2019), 10, (432), 10.3389/fgene.2019.00432)

AU - Zhang, Hanyu

AU - Hung, Che Lun

AU - Liu, Meiyuan

AU - Hu, Xiaoye

AU - Lin, Yi Yang

PY - 2019/9/13

Y1 - 2019/9/13

N2 - In the published article, there was an error in affiliation “1.” The affiliation “Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China” should be moved to affiliation “7” and should be removed for the first and corresponding authors. Additionally, all subsequent affiliations should move up in order. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

AB - In the published article, there was an error in affiliation “1.” The affiliation “Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China” should be moved to affiliation “7” and should be removed for the first and corresponding authors. Additionally, all subsequent affiliations should move up in order. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

KW - LSTM

KW - Non-coding DNA

KW - deep learning

KW - residual learning

KW - sequence to sequence learning

UR - http://www.scopus.com/inward/record.url?scp=85072901501&partnerID=8YFLogxK

U2 - 10.3389/fgene.2019.00923

DO - 10.3389/fgene.2019.00923

M3 - 评论/辩论

AN - SCOPUS:85072901501

SN - 1664-8021

VL - 10

JO - Frontiers in Genetics

JF - Frontiers in Genetics

M1 - 923

ER -

Corrigendum: NCNet: Deep Learning Network Models for Predicting Function of Non-Coding DNA (Front. Genet., (2019), 10, (432), 10.3389/fgene.2019.00432)

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

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