pyMeSHSim: an integrative python package to realize biomedical named entity recognition, normalization and comparison
pyMeSHSim: an integrative python package to realize biomedical named entity recognition, normalization and comparison
ABSTRACT SummaryComputing semantic similarity between two texts, like disease descriptions, has become important for many biomedical text mining applications. Here, we present PyMeSHSim, which is an integrative, lightweight and data-rich MeSH toolkit that recognizes biomedical named entities (bio-NEs) from texts, maps the bio-NEs to the controlled vocabulary MeSH and measures the semantic similarity between the MeSH terms. AvailabilityPackage’s source code and test datasets are available under the GPLv3 license at https://github.com/luozhhub/pyMeSHSim Contactzhen-xia.chen@mail.hzau.edu.cn or zhy630@mail.hzau.edu.cn
Shi Meng-Wei、Yang Zhuang、Zhang Hong-Yu、Luo Zhi-Hui、Chen Zhen-Xia
College of Life Science and Technology, Huazhong Agricultural UniversityCollege of Life Science and Technology, Huazhong Agricultural UniversityHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural UniversityCollege of Life Science and Technology, Huazhong Agricultural UniversityCollege of Life Science and Technology, Huazhong Agricultural University
生物科学研究方法、生物科学研究技术计算技术、计算机技术基础医学
Shi Meng-Wei,Yang Zhuang,Zhang Hong-Yu,Luo Zhi-Hui,Chen Zhen-Xia.pyMeSHSim: an integrative python package to realize biomedical named entity recognition, normalization and comparison[EB/OL].(2025-03-28)[2025-04-30].https://www.biorxiv.org/content/10.1101/459172.点此复制
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