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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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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2018-07-01
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| Colecção: | BMC Bioinformatics |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1186/s12859-018-2263-6 |
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