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Alternative empirical Bayes models for adjusting for batch effects in genomic studies
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 multiple...
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| Veröffentlicht in: | BMC Bioinformatics |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6044013/ https://ncbi.nlm.nih.gov/pubmed/30001694 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2263-6 |
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