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Improving Cancer Gene Expression Data Quality through a TCGA Data-Driven Evaluation of Identifier Filtering

Data quality is a recognized problem for high-throughput genomics platforms, as evinced by the proliferation of methods attempting to filter out lower quality data points. Different filtering methods lead to discordant results, raising the question, which methods are best? Astonishingly, little comp...

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Библиографические подробности
Опубликовано в: :Cancer Inform
Главные авторы: McDade, Kevin K., Chandran, Uma, Day, Roger S.
Формат: Artigo
Язык:Inglês
Опубликовано: Libertas Academica 2015
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4686346/
https://ncbi.nlm.nih.gov/pubmed/26715829
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4137/CIN.S33076
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