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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central
2016-03-01
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| Series: | Genomics & Informatics |
| Subjects: | |
| Online Access: | http://genominfo.org/upload/pdf/gni-14-34.pdf |
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