Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits.
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| Title: | Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits. |
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| Authors: | Glastonbury CA; Big Data Institute, University of Oxford, Oxford, United Kingdom.; BenevolentAI, London, United Kingdom., Pulit SL; Big Data Institute, University of Oxford, Oxford, United Kingdom., Honecker J; Else Kröner-Fresenius-Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, Freising, Germany., Censin JC; Big Data Institute, University of Oxford, Oxford, United Kingdom.; Wellcome Centre for Human Genetics (WCHG), Oxford, United Kingdom., Laber S; Big Data Institute, University of Oxford, Oxford, United Kingdom.; Broad Institute of MIT and Harvard, Cambridge Massachusetts, United States of America., Yaghootkar H; Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, United Kingdom.; Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom., Rahmioglu N; Wellcome Centre for Human Genetics (WCHG), Oxford, United Kingdom.; Endometriosis CaRe Centre Oxford, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom., Pastel E; Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, United Kingdom., Kos K; Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, United Kingdom., Pitt A; NIHR Exeter Clinical Research Facility, University of Exeter Medical School, University of Exeter and Royal Devon and Exeter NHS Foundation Trust Exeter, United Kingdom., Hudson M; NIHR Exeter Clinical Research Facility, University of Exeter Medical School, University of Exeter and Royal Devon and Exeter NHS Foundation Trust Exeter, United Kingdom., Nellåker C; Big Data Institute, University of Oxford, Oxford, United Kingdom.; Endometriosis CaRe Centre Oxford, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom., Beer NL; Novo Nordisk Research Centre Oxford (NNRCO), Oxford, United Kingdom., Hauner H; Else Kröner-Fresenius-Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, Freising, Germany.; Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich.; German Center of Diabetes Research, Helmholtz Center Munich, Neuherberg, Germany., Becker CM; Endometriosis CaRe Centre Oxford, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom., Zondervan KT; Wellcome Centre for Human Genetics (WCHG), Oxford, United Kingdom.; Endometriosis CaRe Centre Oxford, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom., Frayling TM; Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, United Kingdom.; NIHR Exeter Clinical Research Facility, University of Exeter Medical School, University of Exeter and Royal Devon and Exeter NHS Foundation Trust Exeter, United Kingdom., Claussnitzer M; Broad Institute of MIT and Harvard, Cambridge Massachusetts, United States of America.; University of Hohenheim, Stuttgart, Germany.; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America., Lindgren CM; Big Data Institute, University of Oxford, Oxford, United Kingdom.; Wellcome Centre for Human Genetics (WCHG), Oxford, United Kingdom.; Broad Institute of MIT and Harvard, Cambridge Massachusetts, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2020 Aug 14; Vol. 16 (8), pp. e1008044. Date of Electronic Publication: 2020 Aug 14 (Print Publication: 2020). |
| Publication Type: | Journal Article; Meta-Analysis; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 32797044 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Glastonbury+CA%22">Glastonbury CA</searchLink>; Big Data Institute, University of Oxford, Oxford, United Kingdom.; BenevolentAI, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Pulit+SL%22">Pulit SL</searchLink>; Big Data Institute, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Honecker+J%22">Honecker J</searchLink>; Else Kröner-Fresenius-Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, Freising, Germany.<br /><searchLink fieldCode="AU" term="%22Censin+JC%22">Censin JC</searchLink>; Big Data Institute, University of Oxford, Oxford, United Kingdom.; Wellcome Centre for Human Genetics (WCHG), Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Laber+S%22">Laber S</searchLink>; Big Data Institute, University of Oxford, Oxford, United Kingdom.; Broad Institute of MIT and Harvard, Cambridge Massachusetts, United States of America.<br /><searchLink fieldCode="AU" term="%22Yaghootkar+H%22">Yaghootkar H</searchLink>; Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, United Kingdom.; Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Rahmioglu+N%22">Rahmioglu N</searchLink>; Wellcome Centre for Human Genetics (WCHG), Oxford, United Kingdom.; Endometriosis CaRe Centre Oxford, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Pastel+E%22">Pastel E</searchLink>; Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Kos+K%22">Kos K</searchLink>; Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Pitt+A%22">Pitt A</searchLink>; NIHR Exeter Clinical Research Facility, University of Exeter Medical School, University of Exeter and Royal Devon and Exeter NHS Foundation Trust Exeter, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Hudson+M%22">Hudson M</searchLink>; NIHR Exeter Clinical Research Facility, University of Exeter Medical School, University of Exeter and Royal Devon and Exeter NHS Foundation Trust Exeter, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Nellåker+C%22">Nellåker C</searchLink>; Big Data Institute, University of Oxford, Oxford, United Kingdom.; Endometriosis CaRe Centre Oxford, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Beer+NL%22">Beer NL</searchLink>; Novo Nordisk Research Centre Oxford (NNRCO), Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Hauner+H%22">Hauner H</searchLink>; Else Kröner-Fresenius-Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, Freising, Germany.; Institute of Nutritional Medicine, School of Medicine, Technical University of Munich, Munich.; German Center of Diabetes Research, Helmholtz Center Munich, Neuherberg, Germany.<br /><searchLink fieldCode="AU" term="%22Becker+CM%22">Becker CM</searchLink>; Endometriosis CaRe Centre Oxford, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Zondervan+KT%22">Zondervan KT</searchLink>; Wellcome Centre for Human Genetics (WCHG), Oxford, United Kingdom.; Endometriosis CaRe Centre Oxford, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Frayling+TM%22">Frayling TM</searchLink>; Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, United Kingdom.; NIHR Exeter Clinical Research Facility, University of Exeter Medical School, University of Exeter and Royal Devon and Exeter NHS Foundation Trust Exeter, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Claussnitzer+M%22">Claussnitzer M</searchLink>; Broad Institute of MIT and Harvard, Cambridge Massachusetts, United States of America.; University of Hohenheim, Stuttgart, Germany.; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America.<br /><searchLink fieldCode="AU" term="%22Lindgren+CM%22">Lindgren CM</searchLink>; Big Data Institute, University of Oxford, Oxford, United Kingdom.; Wellcome Centre for Human Genetics (WCHG), Oxford, United Kingdom.; Broad Institute of MIT and Harvard, Cambridge Massachusetts, United States of America. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2020 Aug 14; Vol. 16 (8), pp. e1008044. <i>Date of Electronic Publication: </i>2020 Aug 14 (<i>Print Publication: </i>2020). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Meta-Analysis; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101238922 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7358 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221553734X%22">1553734X </searchLink><i>NLM ISO Abbreviation: </i>PLoS Comput Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=32797044 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1008044 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e1008044 Titles: – TitleFull: Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Glastonbury CA – PersonEntity: Name: NameFull: Pulit SL – PersonEntity: Name: NameFull: Honecker J – PersonEntity: Name: NameFull: Censin JC – PersonEntity: Name: NameFull: Laber S – PersonEntity: Name: NameFull: Yaghootkar H – PersonEntity: Name: NameFull: Rahmioglu N – PersonEntity: Name: NameFull: Pastel E – PersonEntity: Name: NameFull: Kos K – PersonEntity: Name: NameFull: Pitt A – PersonEntity: Name: NameFull: Hudson M – PersonEntity: Name: NameFull: Nellåker C – PersonEntity: Name: NameFull: Beer NL – PersonEntity: Name: NameFull: Hauner H – PersonEntity: Name: NameFull: Becker CM – PersonEntity: Name: NameFull: Zondervan KT – PersonEntity: Name: NameFull: Frayling TM – PersonEntity: Name: NameFull: Claussnitzer M – PersonEntity: Name: NameFull: Lindgren CM IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 08 Text: 2020 Aug 14 Type: published Y: 2020 Identifiers: – Type: issn-electronic Value: 1553-7358 Numbering: – Type: volume Value: 16 – Type: issue Value: 8 Titles: – TitleFull: PLoS computational biology Type: main |
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