A statistical approach to identify, monitor, and manage incomplete curated data sets
Abstract Background Many biological knowledge bases gather data through expert curation of published literature. High data volume, selective partial curation, delays in access, and publication of data prior to the ability to curate it can result in incomplete curation of published data. Knowing whic...
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| Format: | Article |
| Language: | English |
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BMC
2018-04-01
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| Series: | BMC Bioinformatics |
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| Online Access: | http://link.springer.com/article/10.1186/s12859-018-2121-6 |