pyMeSHSim: an integrative python package for biomedical named entity recognition, normalization, and comparison of MeSH terms

Background Many disease causing genes have been identified through different methods, but there have been no uniform annotations of biomedical named entity (bio-NE) of the disease phenotypes of these genes yet. Furthermore, semantic similarity comparison between two bio-NE annotations has become imp...

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Veröffentlicht in:	BMC bioinformatics Jg. 21; H. 1; S. 1 - 14
Hauptverfasser:	Luo, Zhi-Hui, Shi, Meng-Wei, Yang, Zhuang, Zhang, Hong-Yu, Chen, Zhen-Xia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 18.06.2020 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Algorithms Annotations Batch processing Bioinformatics Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Correlation analysis Data integration Data mining Datasets Disease Genes Genetics Knowledge-based analysis Language Life Sciences Machine learning MeSH Microarrays Named entity recognition Natural language processing Ontology Performance evaluation Phenotypes Recognition Semantic similarity Semantics Similarity Software Supplementary concept records UMLS Vocabularies & taxonomies UMLS MeSH Semantic similarity Supplementary concept records Disease Named entity recognition
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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