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Machine learning-driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer.

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Title: Machine learning-driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer.
Authors: Du JO; Department of Gastroenterology, Yongjia County Traditional Chinese Medicine Hospital, Yongjia, China., Huang QK; Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Sun XC; Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Hu SK; Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Lin TS; Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Source: Science progress [Sci Prog] 2026 Jan-Mar; Vol. 109 (1), pp. 368504261432995. Date of Electronic Publication: 2026 Mar 19.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: England NLM ID: 0411361 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2047-7163 (Electronic) Linking ISSN: 00368504 NLM ISO Abbreviation: Sci Prog Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="AU" term="%22Du+JO%22">Du JO</searchLink>; Department of Gastroenterology, Yongjia County Traditional Chinese Medicine Hospital, Yongjia, China.<br /><searchLink fieldCode="AU" term="%22Huang+QK%22">Huang QK</searchLink>; Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Sun+XC%22">Sun XC</searchLink>; Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Hu+SK%22">Hu SK</searchLink>; Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Lin+TS%22">Lin TS</searchLink>; Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
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  Data: <searchLink fieldCode="JN" term="%220411361%22">Science progress</searchLink> [Sci Prog] 2026 Jan-Mar; Vol. 109 (1), pp. 368504261432995. <i>Date of Electronic Publication: </i>2026 Mar 19.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications%22">SAGE Publications </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0411361 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2047-7163 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200368504%22">00368504 </searchLink><i>NLM ISO Abbreviation: </i>Sci Prog <i>Subsets: </i>MEDLINE
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        Value: 10.1177/00368504261432995
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        Text: English
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      – TitleFull: Machine learning-driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer.
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              Text: 2026 Jan-Mar
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