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Alternative empirical Bayes models for adjusting for batch effects in genomic studies

Abstract Background Combining genomic data sets from multiple studies is advantageous to increase statistical power in studies where logistical considerations restrict sample size or require the sequential generation of data. However, significant technical heterogeneity is commonly observed across m...

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Bibliografische gegevens
Hoofdauteurs: Yuqing Zhang, David F. Jenkins, Solaiappan Manimaran, W. Evan Johnson
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BMC 2018-07-01
Reeks:BMC Bioinformatics
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Online toegang:http://link.springer.com/article/10.1186/s12859-018-2263-6
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