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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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書目詳細資料
發表在:Cancer Inform
Main Authors: McDade, Kevin K., Chandran, Uma, Day, Roger S.
格式: Artigo
語言:Inglês
出版: Libertas Academica 2015
主題:
在線閱讀: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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