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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Bibliographic Details
Main Authors: Jong Hwan Kim, Jong-Luyl Park, Seon-Young Kim
Format: Article
Language:English
Published: Korea Genome Organization 2016-03-01
Series:Genomics & Informatics
Subjects:
Online Access:http://genominfo.org/upload/pdf/gni-14-34.pdf