Identification of a serum proteomic biomarker panel using diagnosis specific ensemble learning and symptoms for early pancreatic cancer detection.
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| Title: | Identification of a serum proteomic biomarker panel using diagnosis specific ensemble learning and symptoms for early pancreatic cancer detection. |
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| Authors: | Ney A; Institute for Liver and Digestive Health, University College London, London, United Kingdom., Nené NR; Department of Women's Cancer, EGA Institute for Women's Health, University College London, London, United Kingdom.; Cancer Institute, University College London, London, United Kingdom.; Department of Statistical Science, University College London, London, United Kingdom., Sedlak E; Department of Women's Cancer, EGA Institute for Women's Health, University College London, London, United Kingdom., Acedo P; Institute for Liver and Digestive Health, University College London, London, United Kingdom., Blyuss O; Center for Cancer Prevention, Detection and Early Diagnosis, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.; Department of Pediatrics and Pediatric Infectious Diseases, Institute of Child´s Health, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia., Whitwell HJ; Department of Women's Cancer, EGA Institute for Women's Health, University College London, London, United Kingdom.; National Phenome Centre and Imperial Clinical Phenotyping Centre, Department of Metabolism, Digestion and Reproduction, IRDB, Building Imperial College London, London, United Kingdom.; Section of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Sir Alexander Fleming Building, Imperial College London, London, United Kingdom., Costello E; Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom., Gentry-Maharaj A; Department of Women's Cancer, EGA Institute for Women's Health, University College London, London, United Kingdom.; MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, United Kingdom., Williams NR; Division of Surgery & Interventional Science, University College London, London, United Kingdom., Menon U; MRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, United Kingdom., Fusai GK; HPB & Liver Transplant Unit, Royal Free London, London, United Kingdom., Zaikin A; Department of Women's Cancer, EGA Institute for Women's Health, University College London, London, United Kingdom.; Institute for Cognitive Neuroscience, University Higher School of Economics, Moscow, Russia.; Department of Mathematics, University College London, London, United Kingdom.; Centre for Cognition and Decision making, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.; Life Improvement by Future Technologies (LIFT) Center, Skolkovo, Moscow, Russia., Pereira SP; Institute for Liver and Digestive Health, University College London, London, United Kingdom. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2024 Aug 29; Vol. 20 (8), pp. e1012408. Date of Electronic Publication: 2024 Aug 29 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1012408 |
