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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...

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Detalles Bibliográficos
Autores principales: Kim, Jong Hwan, Park, Jong-Luyl, Kim, Seon-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2016
Materias:
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