Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetes.

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Title: Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetes.
Authors: Xie X; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China., Wu C; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China., Yang Y; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China., Su W; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China., Dao F; School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore., Huang J; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China., Shi Z; Clinical Genetics Laboratory, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106, China., Lyu H; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China. hao.lyu@uestc.edu.cn., Lin H; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China. hlin@uestc.edu.cn.
Source: Cardiovascular diabetology [Cardiovasc Diabetol] 2025 Jul 24; Vol. 24 (1), pp. 300. Date of Electronic Publication: 2025 Jul 24.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101147637 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-2840 (Electronic) Linking ISSN: 14752840 NLM ISO Abbreviation: Cardiovasc Diabetol Subsets: MEDLINE
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  Data: Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetes.
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  Data: <searchLink fieldCode="AU" term="%22Xie+X%22">Xie X</searchLink>; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.<br /><searchLink fieldCode="AU" term="%22Wu+C%22">Wu C</searchLink>; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.<br /><searchLink fieldCode="AU" term="%22Yang+Y%22">Yang Y</searchLink>; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.<br /><searchLink fieldCode="AU" term="%22Su+W%22">Su W</searchLink>; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.<br /><searchLink fieldCode="AU" term="%22Dao+F%22">Dao F</searchLink>; School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore.<br /><searchLink fieldCode="AU" term="%22Huang+J%22">Huang J</searchLink>; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.<br /><searchLink fieldCode="AU" term="%22Shi+Z%22">Shi Z</searchLink>; Clinical Genetics Laboratory, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, 610106, China.<br /><searchLink fieldCode="AU" term="%22Lyu+H%22">Lyu H</searchLink>; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China. hao.lyu@uestc.edu.cn.<br /><searchLink fieldCode="AU" term="%22Lin+H%22">Lin H</searchLink>; Department of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China. hlin@uestc.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%22101147637%22">Cardiovascular diabetology</searchLink> [Cardiovasc Diabetol] 2025 Jul 24; Vol. 24 (1), pp. 300. <i>Date of Electronic Publication: </i>2025 Jul 24.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101147637 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1475-2840 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214752840%22">14752840 </searchLink><i>NLM ISO Abbreviation: </i>Cardiovasc Diabetol <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12933-025-02865-8
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              Text: 2025 Jul 24
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