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Predicting Biomedical Metadata in CEDAR: a Study of Gene Expression Omnibus (GEO)
A crucial and limiting factor in data reuse is the lack of accurate, structured, and complete descriptions of data, known as metadata. Towards improving the quantity and quality of metadata, we propose a novel metadata prediction framework to learn associations from existing metadata that can be use...
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| Publicado no: | J Biomed Inform |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5643580/ https://ncbi.nlm.nih.gov/pubmed/28625880 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2017.06.017 |
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