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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Libertas Academica
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4686346/ https://www.ncbi.nlm.nih.gov/pubmed/26715829 http://dx.doi.org/10.4137/CIN.S33076 |