Leveraging transcriptomics, Mendelian randomization, and double machine learning algorithm for causal biomarker discovery and prognostic signature development in the context of graphene-related lung adenocarcinoma.

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Title: Leveraging transcriptomics, Mendelian randomization, and double machine learning algorithm for causal biomarker discovery and prognostic signature development in the context of graphene-related lung adenocarcinoma.
Authors: Cao Z; The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China., Ma ML; Department of Oncology, Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China., Xiao Y; The Second Affiliated Hospital of Guangdong Medical University, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, China., Zhang Y; The Second Affiliated Hospital of Guangdong Medical University, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, China., Chen Y; Department of Quality Management, Xiangyang Blood Center, Xiangyang, China., Zhu X; The Second Affiliated Hospital of Guangdong Medical University, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, China.
Source: Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2025 Dec 24, pp. 1-22. Date of Electronic Publication: 2025 Dec 24.
Publication Type: Journal Article
Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9802899 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-8259 (Electronic) Linking ISSN: 10255842 NLM ISO Abbreviation: Comput Methods Biomech Biomed Engin Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Leveraging transcriptomics, Mendelian randomization, and double machine learning algorithm for causal biomarker discovery and prognostic signature development in the context of graphene-related lung adenocarcinoma.
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  Data: <searchLink fieldCode="AU" term="%22Cao+Z%22">Cao Z</searchLink>; The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Ma+ML%22">Ma ML</searchLink>; Department of Oncology, Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.<br /><searchLink fieldCode="AU" term="%22Xiao+Y%22">Xiao Y</searchLink>; The Second Affiliated Hospital of Guangdong Medical University, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, China.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; The Second Affiliated Hospital of Guangdong Medical University, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, China.<br /><searchLink fieldCode="AU" term="%22Chen+Y%22">Chen Y</searchLink>; Department of Quality Management, Xiangyang Blood Center, Xiangyang, China.<br /><searchLink fieldCode="AU" term="%22Zhu+X%22">Zhu X</searchLink>; The Second Affiliated Hospital of Guangdong Medical University, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, China.
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  Data: <searchLink fieldCode="JN" term="%229802899%22">Computer methods in biomechanics and biomedical engineering</searchLink> [Comput Methods Biomech Biomed Engin] 2025 Dec 24, pp. 1-22. <i>Date of Electronic Publication: </i>2025 Dec 24.
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        Value: 10.1080/10255842.2025.2606227
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              Text: 2025 Dec 24
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