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Non-negligible Occurrence of Errors in Gender Description in Public Data Sets
Due to advances in omics technologies, numerous genome-wide studies on human samples have been published, and most of the omics data with the associated clinical information are available in public repositories, such as Gene Expression Omnibus and ArrayExpress. While analyzing several public dataset...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Korea Genome Organization
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4838528/ https://www.ncbi.nlm.nih.gov/pubmed/27103889 http://dx.doi.org/10.5808/GI.2016.14.1.34 |