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...

Descripción completa

Detalles Bibliográficos
Autores principales: McDade, Kevin K., Chandran, Uma, Day, Roger S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2015
Materias:
Original Research
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

Internet

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

Ejemplares similares