Cleaning by clustering: methodology for addressing data quality issues in biomedical metadata
Abstract Background The ability to efficiently search and filter datasets depends on access to high quality metadata. While most biomedical repositories require data submitters to provide a minimal set of metadata, some such as the Gene Expression Omnibus (GEO) allows users to specify additional met...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-09-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12859-017-1832-4 |