Identification of metabolomics-based biomarker discovery in individuals with down syndrome utilizing kernel-tree model-enhanced explainable artificial intelligence methodology.

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Title: Identification of metabolomics-based biomarker discovery in individuals with down syndrome utilizing kernel-tree model-enhanced explainable artificial intelligence methodology.
Authors: Colak C; Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, Malatya, Türkiye., Yagin FH; Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, Malatya, Türkiye., Yagin B; Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, Malatya, Türkiye., Alkhateeb A; Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada., Al-Rawi MBA; Department of Optometry, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia., Akhloufi MA; Perception, Robotics and Intelligent Machines (PRIME) Lab, Department Computer Science, Université de Moncton, Moncton, NB, Canada., Aghaei M; Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology (NTNU), Alesund, Norway.; Department of Sustainable Systems Engineering (INATECH), Albert Ludwigs University of Freiburg, Freiburg, Germany.
Source: Frontiers in molecular biosciences [Front Mol Biosci] 2025 Apr 09; Vol. 12, pp. 1567199. Date of Electronic Publication: 2025 Apr 09 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101653173 Publication Model: eCollection Cited Medium: Print ISSN: 2296-889X (Print) Linking ISSN: 2296889X NLM ISO Abbreviation: Front Mol Biosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Identification of metabolomics-based biomarker discovery in individuals with down syndrome utilizing kernel-tree model-enhanced explainable artificial intelligence methodology.
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  Data: <searchLink fieldCode="AU" term="%22Colak+C%22">Colak C</searchLink>; Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, Malatya, Türkiye.<br /><searchLink fieldCode="AU" term="%22Yagin+FH%22">Yagin FH</searchLink>; Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, Malatya, Türkiye.<br /><searchLink fieldCode="AU" term="%22Yagin+B%22">Yagin B</searchLink>; Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, Malatya, Türkiye.<br /><searchLink fieldCode="AU" term="%22Alkhateeb+A%22">Alkhateeb A</searchLink>; Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Al-Rawi+MBA%22">Al-Rawi MBA</searchLink>; Department of Optometry, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Akhloufi+MA%22">Akhloufi MA</searchLink>; Perception, Robotics and Intelligent Machines (PRIME) Lab, Department Computer Science, Université de Moncton, Moncton, NB, Canada.<br /><searchLink fieldCode="AU" term="%22Aghaei+M%22">Aghaei M</searchLink>; Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology (NTNU), Alesund, Norway.; Department of Sustainable Systems Engineering (INATECH), Albert Ludwigs University of Freiburg, Freiburg, Germany.
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  Data: <searchLink fieldCode="JN" term="%22101653173%22">Frontiers in molecular biosciences</searchLink> [Front Mol Biosci] 2025 Apr 09; Vol. 12, pp. 1567199. <i>Date of Electronic Publication: </i>2025 Apr 09 (<i>Print Publication: </i>2025).
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