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A machine learning framework using urinary biomarkers for pancreatic ductal adenocarcinoma prediction with post hoc validation via single-cell transcriptomics.

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Title: A machine learning framework using urinary biomarkers for pancreatic ductal adenocarcinoma prediction with post hoc validation via single-cell transcriptomics.
Authors: Solomon, Dahlak D1, Ko, Ching-Chung2, Chen, Hsin-Yi3, Kumar, Sachin4, Wulandari, Fitria Sari3, Xuan, Do Thi Minh5, Lin, Hung-Yun6, Lin, Hui-Ru7, Lee, Yung-Kuo8, Hsu, Wen-Hsin9
Source: Briefings in Bioinformatics; Nov2025, Vol. 26 Issue 6, p1-17, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190784205
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A machine learning framework using urinary biomarkers for pancreatic ductal adenocarcinoma prediction with post hoc validation via single-cell transcriptomics.
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  Data: <searchLink fieldCode="JN" term="%22Briefings+in+Bioinformatics%22">Briefings in Bioinformatics</searchLink>; Nov2025, Vol. 26 Issue 6, p1-17, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190784205
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        Value: 10.1093/bib/bbaf583
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        Text: English
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      – TitleFull: A machine learning framework using urinary biomarkers for pancreatic ductal adenocarcinoma prediction with post hoc validation via single-cell transcriptomics.
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              Text: Nov2025
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              Y: 2025
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