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Quantifying domain-specific relevance of computational biology Wikipedia articles using TF-IDF and cosine similarity.

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Title: Quantifying domain-specific relevance of computational biology Wikipedia articles using TF-IDF and cosine similarity.
Authors: Pradeep Menon A; School of Computing and Mathematics, Faculty of Engineering, Computing, and Environment, Kingston University, London, KT1 2EE, United Kingdom., Davis T; School of Electrical Engineering and Computer Science, Ohio University, Athens, OH 45701, United States., Hegde M; School of Computing and Mathematics, Faculty of Engineering, Computing, and Environment, Kingston University, London, KT1 2EE, United Kingdom., Näpflin NC; Department of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, Zurich 8057, Switzerland., Anjum A; Office of Instructional Design, Ohio University, Athens, OH 45701, United States., Barman S; School of Computing and Mathematics, Faculty of Engineering, Computing, and Environment, Kingston University, London, KT1 2EE, United Kingdom., DeBlasio D; Ray and Stephanie Lane Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213, United States., Eranti P; Université Paris Cité, Inserm, T3S, Paris 75006, France., Nebel JC; School of Computing and Mathematics, Faculty of Engineering, Computing, and Environment, Kingston University, London, KT1 2EE, United Kingdom., Sélem-Mojica N; Centro de Ciencias Matemáticas, Universidad Nacional Autónoma de México, Morelia 58089, México., Shome S; School of Medicine, Stanford University, Stanford, CA 94305, United States., Welch LR; School of Electrical Engineering and Computer Science, Ohio University, Athens, OH 45701, United States., Kilpatrick AM; Centre for Regenerative Medicine, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, EH16 4UU, United Kingdom., Rahman F; School of Computing and Mathematics, Faculty of Engineering, Computing, and Environment, Kingston University, London, KT1 2EE, United Kingdom.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2026 Jul 01; Vol. 42 (Supplement_1).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
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