Machine learning-based identification of proteomic markers in colorectal cancer using UK Biobank data.
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| Title: | Machine learning-based identification of proteomic markers in colorectal cancer using UK Biobank data. |
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| Authors: | Radhakrishnan SK; College of Medicine and Health, School of Medical Sciences, Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom., Nath D; College of Medicine and Health, School of Medical Sciences, Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom., Russ D; College of Medicine and Health, School of Medical Sciences, Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.; Institute of Translational Medicine, University Hospitals Birmingham National Health Service (NHS) Foundation Trust, Birmingham, United Kingdom.; Centre for Health Data Research, University of Birmingham, Birmingham, United Kingdom., Merodio LB; College of Medicine and Health, School of Medical Sciences, Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.; Institute of Translational Medicine, University Hospitals Birmingham National Health Service (NHS) Foundation Trust, Birmingham, United Kingdom.; Centre for Health Data Research, University of Birmingham, Birmingham, United Kingdom., Lad P; College of Medicine and Health, School of Medical Sciences, Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom., Daisi FK; College of Medicine and Health, School of Medical Sciences, Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom., Acharjee A; College of Medicine and Health, School of Medical Sciences, Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.; Institute of Translational Medicine, University Hospitals Birmingham National Health Service (NHS) Foundation Trust, Birmingham, United Kingdom.; Centre for Health Data Research, University of Birmingham, Birmingham, United Kingdom. |
| Source: | Frontiers in oncology [Front Oncol] 2025 Jan 07; Vol. 14, pp. 1505675. Date of Electronic Publication: 2025 Jan 07 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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