Academic Journal

PheneBank: a literature-based database of phenotypes.

التفاصيل البيبلوغرافية
العنوان: PheneBank: a literature-based database of phenotypes.
المؤلفون: Pilehvar, MT, Bernard, A, Smedley, D, Collier, N
سنة النشر: 2022
المجموعة: Queen Mary University of London: Queen Mary Research Online (QMRO)
مصطلحات موضوعية: Humans, Rare Diseases, Software, Algorithms, Data Mining, Phenotype
الوصف: MOTIVATION: Significant effort has been spent by curators to create coding systems for phenotypes such as the Human Phenotype Ontology, as well as disease-phenotype annotations. We aim to support the discovery of literature-based phenotypes and integrate them into the knowledge discovery process. RESULTS: PheneBank is a Web-portal for retrieving human phenotype-disease associations that have been text-mined from the whole of Medline. Our approach exploits state-of-the-art machine learning for concept identification by utilizing an expert annotated rare disease corpus from the PMC Text Mining subset. Evaluation of the system for entities is conducted on a gold-standard corpus of rare disease sentences and for associations against the Monarch initiative data. AVAILABILITY AND IMPLEMENTATION: The PheneBank Web-portal freely available at http://www.phenebank.org. Annotated Medline data is available from Zenodo at DOI:10.5281/zenodo.1408800. Semantic annotation software is freely available for non-commercial use at GitHub: https://github.com/pilehvar/phenebank. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
نوع الوثيقة: article in journal/newspaper
وصف الملف: 1179 - 1180
اللغة: English
Relation: Bioinformatics; https://qmro.qmul.ac.uk/xmlui/handle/123456789/84822
DOI: 10.1093/bioinformatics/btab740
الاتاحة: https://qmro.qmul.ac.uk/xmlui/handle/123456789/84822
https://doi.org/10.1093/bioinformatics/btab740
Rights: Attribution 3.0 United States ; http://creativecommons.org/licenses/by/3.0/us/
رقم الانضمام: edsbas.D8E2072F
قاعدة البيانات: BASE
الوصف
DOI:10.1093/bioinformatics/btab740