Correction to: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions (Nature Machine Intelligence, (2024), 6, 4, (449-460), 10.1038/s42256-024-00823-9)

Yanyi Chu; Dan Yu; Yupeng Li; Kaixuan Huang; Yue Shen; Le Cong; Jason Zhang; Mengdi Wang

doi:10.1038/s42256-024-00890-y

Correction to: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions (Nature Machine Intelligence, (2024), 6, 4, (449-460), 10.1038/s42256-024-00823-9)

Yanyi Chu
, Dan Yu
, Yupeng Li
, Kaixuan Huang
, Yue Shen
, Le Cong
, Jason Zhang
, Mengdi Wang

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Correction to: Nature Machine Intelligencehttps://doi.org/10.1038/s42256-024-00823-9, published online 5 April 2024. In the version of the article initially published, in the Code availability section, the Code Ocean link was incorrect and has now been amended https://codeocean.com/capsule/4214075/tree/v1 in the HTML and PDF versions of the article.

Original language	English (US)
Pages (from-to)	988
Number of pages	1
Journal	Nature Machine Intelligence
Volume	6
Issue number	8
DOIs	https://doi.org/10.1038/s42256-024-00890-y
State	Published - Aug 2024

All Science Journal Classification (ASJC) codes

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications
Artificial Intelligence

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10.1038/s42256-024-00890-y

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title = "Correction to: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions (Nature Machine Intelligence, (2024), 6, 4, (449-460), 10.1038/s42256-024-00823-9)",

abstract = "Correction to: Nature Machine Intelligencehttps://doi.org/10.1038/s42256-024-00823-9, published online 5 April 2024. In the version of the article initially published, in the Code availability section, the Code Ocean link was incorrect and has now been amended https://codeocean.com/capsule/4214075/tree/v1 in the HTML and PDF versions of the article.",

author = "Yanyi Chu and Dan Yu and Yupeng Li and Kaixuan Huang and Yue Shen and Le Cong and Jason Zhang and Mengdi Wang",

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doi = "10.1038/s42256-024-00890-y",

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journal = "Nature Machine Intelligence",

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}

Correction to: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions (Nature Machine Intelligence, (2024), 6, 4, (449-460), 10.1038/s42256-024-00823-9). / Chu, Yanyi; Yu, Dan; Li, Yupeng et al.
In: Nature Machine Intelligence, Vol. 6, No. 8, 08.2024, p. 988.

Research output: Contribution to journal › Comment/debate › peer-review

TY - JOUR

T1 - Correction to

T2 - A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions (Nature Machine Intelligence, (2024), 6, 4, (449-460), 10.1038/s42256-024-00823-9)

AU - Chu, Yanyi

AU - Yu, Dan

AU - Li, Yupeng

AU - Huang, Kaixuan

AU - Shen, Yue

AU - Cong, Le

AU - Zhang, Jason

AU - Wang, Mengdi

PY - 2024/8

Y1 - 2024/8

N2 - Correction to: Nature Machine Intelligencehttps://doi.org/10.1038/s42256-024-00823-9, published online 5 April 2024. In the version of the article initially published, in the Code availability section, the Code Ocean link was incorrect and has now been amended https://codeocean.com/capsule/4214075/tree/v1 in the HTML and PDF versions of the article.

AB - Correction to: Nature Machine Intelligencehttps://doi.org/10.1038/s42256-024-00823-9, published online 5 April 2024. In the version of the article initially published, in the Code availability section, the Code Ocean link was incorrect and has now been amended https://codeocean.com/capsule/4214075/tree/v1 in the HTML and PDF versions of the article.

UR - https://www.scopus.com/pages/publications/85200103668

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U2 - 10.1038/s42256-024-00890-y

DO - 10.1038/s42256-024-00890-y

M3 - Comment/debate

AN - SCOPUS:85200103668

SN - 2522-5839

VL - 6

SP - 988

JO - Nature Machine Intelligence

JF - Nature Machine Intelligence

IS - 8

ER -

Correction to: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions (Nature Machine Intelligence, (2024), 6, 4, (449-460), 10.1038/s42256-024-00823-9)

Abstract

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