Risk-conscious correction of batch effects: maximising information extraction from high-throughput genomic datasets

BACKGROUND: Batch effects are a persistent and pervasive form of measurement noise which undermine the scientific utility of high-throughput genomic datasets. At their most benign, they reduce the power of statistical tests resulting in actual effects going unidentified. At their worst, they constit...

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Detalles Bibliográficos
Autores principales: Oytam, Yalchin, Sobhanmanesh, Fariborz, Duesing, Konsta, Bowden, Joshua C., Osmond-McLeod, Megan, Ross, Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009651/
https://www.ncbi.nlm.nih.gov/pubmed/27585881
http://dx.doi.org/10.1186/s12859-016-1212-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009651/
https://www.ncbi.nlm.nih.gov/pubmed/27585881
http://dx.doi.org/10.1186/s12859-016-1212-5

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