Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning.

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Title: Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning.
Authors: Roy G; Indiana Biosciences Research Institute, Indianapolis, United States., Syed R; Indiana Biosciences Research Institute, Indianapolis, United States., Lazaro O; Indiana Biosciences Research Institute, Indianapolis, United States., Robertson S; Indiana Biosciences Research Institute, Indianapolis, United States., McCabe SD; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, United States., Rodriguez D; Indiana Biosciences Research Institute, Indianapolis, United States., Mawla AM; Department of Neurobiology, Physiology and Behavior, College of Biological Sciences, University of California, Davis, Davis, United States., Johnson TS; Indiana Biosciences Research Institute, Indianapolis, United States.; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, United States., Kalwat MA; Indiana Biosciences Research Institute, Indianapolis, United States.; Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, United States.
Source: ELife [Elife] 2025 Sep 22; Vol. 13. Date of Electronic Publication: 2025 Sep 22.
Publication Type: Journal Article
Journal Info: Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Roy+G%22">Roy G</searchLink>; Indiana Biosciences Research Institute, Indianapolis, United States.<br /><searchLink fieldCode="AU" term="%22Syed+R%22">Syed R</searchLink>; Indiana Biosciences Research Institute, Indianapolis, United States.<br /><searchLink fieldCode="AU" term="%22Lazaro+O%22">Lazaro O</searchLink>; Indiana Biosciences Research Institute, Indianapolis, United States.<br /><searchLink fieldCode="AU" term="%22Robertson+S%22">Robertson S</searchLink>; Indiana Biosciences Research Institute, Indianapolis, United States.<br /><searchLink fieldCode="AU" term="%22McCabe+SD%22">McCabe SD</searchLink>; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, United States.<br /><searchLink fieldCode="AU" term="%22Rodriguez+D%22">Rodriguez D</searchLink>; Indiana Biosciences Research Institute, Indianapolis, United States.<br /><searchLink fieldCode="AU" term="%22Mawla+AM%22">Mawla AM</searchLink>; Department of Neurobiology, Physiology and Behavior, College of Biological Sciences, University of California, Davis, Davis, United States.<br /><searchLink fieldCode="AU" term="%22Johnson+TS%22">Johnson TS</searchLink>; Indiana Biosciences Research Institute, Indianapolis, United States.; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, United States.<br /><searchLink fieldCode="AU" term="%22Kalwat+MA%22">Kalwat MA</searchLink>; Indiana Biosciences Research Institute, Indianapolis, United States.; Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, United States.
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  Data: <searchLink fieldCode="JN" term="%22101579614%22">ELife</searchLink> [Elife] 2025 Sep 22; Vol. 13. <i>Date of Electronic Publication: </i>2025 Sep 22.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22eLife+Sciences+Publications%2C+Ltd%22">eLife Sciences Publications, Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101579614 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2050-084X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222050084X%22">2050084X </searchLink><i>NLM ISO Abbreviation: </i>Elife <i>Subsets: </i>MEDLINE
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        Value: 10.7554/eLife.96713
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              Text: 2025 Sep 22
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