A machine learning approach identifies cellular senescence on transcriptome data of human cells in vitro.
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| Title: | A machine learning approach identifies cellular senescence on transcriptome data of human cells in vitro. |
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| Authors: | Mahmud S; Institute on the Biology of Aging and Metabolism, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.; Department of Genetics, Cell Biology and Development, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA., Zheng C; Institute on the Biology of Aging and Metabolism, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.; Department of Genetics, Cell Biology and Development, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.; Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China., Santiago FE; Institute on the Biology of Aging and Metabolism, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.; Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA., Zhang L; Institute on the Biology of Aging and Metabolism, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.; Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA., Robbins PD; Institute on the Biology of Aging and Metabolism, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.; Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA., Dong X; Institute on the Biology of Aging and Metabolism, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA. dong0265@umn.edu.; Department of Genetics, Cell Biology and Development, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA. dong0265@umn.edu. |
| Source: | GeroScience [Geroscience] 2025 Jun; Vol. 47 (3), pp. 5287-5301. Date of Electronic Publication: 2024 Dec 30. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 101686284 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2509-2723 (Electronic) Linking ISSN: 25092723 NLM ISO Abbreviation: Geroscience Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39738795 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A machine learning approach identifies cellular senescence on transcriptome data of human cells in vitro. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Mahmud+S%22">Mahmud S</searchLink>; Institute on the Biology of Aging and Metabolism, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.; Department of Genetics, Cell Biology and Development, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.<br /><searchLink fieldCode="AU" term="%22Zheng+C%22">Zheng C</searchLink>; Institute on the Biology of Aging and Metabolism, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.; Department of Genetics, Cell Biology and Development, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.; Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.<br /><searchLink fieldCode="AU" term="%22Santiago+FE%22">Santiago FE</searchLink>; Institute on the Biology of Aging and Metabolism, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.; Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Institute on the Biology of Aging and Metabolism, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.; Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA.<br /><searchLink fieldCode="AU" term="%22Robbins+PD%22">Robbins PD</searchLink>; Institute on the Biology of Aging and Metabolism, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA.; Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA.<br /><searchLink fieldCode="AU" term="%22Dong+X%22">Dong X</searchLink>; Institute on the Biology of Aging and Metabolism, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA. dong0265@umn.edu.; Department of Genetics, Cell Biology and Development, University of Minnesota, Twin Cities, Minneapolis, MN, 55455, USA. dong0265@umn.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101686284%22">GeroScience</searchLink> [Geroscience] 2025 Jun; Vol. 47 (3), pp. 5287-5301. <i>Date of Electronic Publication: </i>2024 Dec 30. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International+Publishing%22">Springer International Publishing </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101686284 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2509-2723 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225092723%22">25092723 </searchLink><i>NLM ISO Abbreviation: </i>Geroscience <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39738795 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11357-024-01485-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 5287 Titles: – TitleFull: A machine learning approach identifies cellular senescence on transcriptome data of human cells in vitro. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mahmud S – PersonEntity: Name: NameFull: Zheng C – PersonEntity: Name: NameFull: Santiago FE – PersonEntity: Name: NameFull: Zhang L – PersonEntity: Name: NameFull: Robbins PD – PersonEntity: Name: NameFull: Dong X IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2025 Jun Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2509-2723 Numbering: – Type: volume Value: 47 – Type: issue Value: 3 Titles: – TitleFull: GeroScience Type: main |
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