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Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad100
Abstract: Abstract Summary The systems biology graphical notation (SBGN) has become the de facto standard for the graphical representation of molecular maps. Having rapid and easy access to the content of large collections of maps is…
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Keywords:
database stonpy;
sbgn maps;
graph database;
query ... See more keywords
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Published in 2017 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2017.7959352
Abstract: Since NoSQL databases use data models, access modes and query languages that differ from the relational databases, the testing NoSQL database applications raises new challenges. There has been much attention to testing relational database applications,…
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Keywords:
modelling test;
database applications;
test;
graph database ... See more keywords
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Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0207595
Abstract: The integration of oilfield multidisciplinary ontology is increasingly important for the growth of the Semantic Web. However, current methods encounter performance bottlenecks either in storing data and searching for information when processing large amounts of…
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Keywords:
storage;
ontology;
retrieval;
neo4j graph ... See more keywords
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Published in 2022 at "Healthcare"
DOI: 10.3390/healthcare10081419
Abstract: In this study, we utilized ontology and machine learning methods to analyze the current results on vaccine adverse events. With the VAERS (Vaccine Adverse Event Reporting System) Database, the side effects of COVID-19 vaccines are…
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Keywords:
graph database;
adverse effects;
vaccine adverse;
ontology ... See more keywords