- Non-negligible Occurrence of Errors in Gender Description in Public Data Sets
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Kim JH, Park JL, Kim SY
- KMID: 2166538
- Genomics Inform.
- 2016 Mar;14(1):34-40.
- doi: 10.5808/GI.2016.14.1.34
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... -
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