Author Correction: Developing a prognostic model using machine learning for disulfidptosis related lncRNA in lung adenocarcinoma.
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| Title: | Author Correction: Developing a prognostic model using machine learning for disulfidptosis related lncRNA in lung adenocarcinoma. |
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| Authors: | Pan Y; Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.; Postgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China., Jin X; Department of Medical Oncology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China., Xu H; Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.; Postgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China., Hong J; Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.; School of Medicine, Shaoxing University, Shaoxing, China., Li F; Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China. u201212835@alumni.hust.edu.cn., Luo T; Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China. luotaobo@163.com., Zeng J; Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China. zenjianhz320@163.com. |
| Source: | Scientific reports [Sci Rep] 2024 Jun 14; Vol. 14 (1), pp. 13809. Date of Electronic Publication: 2024 Jun 14. |
| Publication Type: | Published Erratum |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38877092 AccessLevel: 2 PubTypeId: unknown PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Author Correction: Developing a prognostic model using machine learning for disulfidptosis related lncRNA in lung adenocarcinoma. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Pan+Y%22">Pan Y</searchLink>; Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.; Postgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Jin+X%22">Jin X</searchLink>; Department of Medical Oncology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Xu+H%22">Xu H</searchLink>; Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.; Postgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Hong+J%22">Hong J</searchLink>; Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.; School of Medicine, Shaoxing University, Shaoxing, China.<br /><searchLink fieldCode="AU" term="%22Li+F%22">Li F</searchLink>; Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China. u201212835@alumni.hust.edu.cn.<br /><searchLink fieldCode="AU" term="%22Luo+T%22">Luo T</searchLink>; Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China. luotaobo@163.com.<br /><searchLink fieldCode="AU" term="%22Zeng+J%22">Zeng J</searchLink>; Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China. zenjianhz320@163.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2024 Jun 14; Vol. 14 (1), pp. 13809. <i>Date of Electronic Publication: </i>2024 Jun 14. – Name: TypePub Label: Publication Type Group: TypPub Data: Published Erratum – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38877092 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-024-64894-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 13809 Titles: – TitleFull: Author Correction: Developing a prognostic model using machine learning for disulfidptosis related lncRNA in lung adenocarcinoma. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pan Y – PersonEntity: Name: NameFull: Jin X – PersonEntity: Name: NameFull: Xu H – PersonEntity: Name: NameFull: Hong J – PersonEntity: Name: NameFull: Li F – PersonEntity: Name: NameFull: Luo T – PersonEntity: Name: NameFull: Zeng J IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 06 Text: 2024 Jun 14 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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