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Power analysis for RNA-Seq differential expression studies using generalized linear mixed effects models
Abstract Background Power analysis becomes an inevitable step in experimental design of current biomedical research. Complex designs allowing diverse correlation structures are commonly used in RNA-Seq experiments. However, the field currently lacks statistical methods to calculate sample size and e...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BMC
2020-05-01
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| Schriftenreihe: | BMC Bioinformatics |
| Schlagworte: | |
| Online Zugang: | http://link.springer.com/article/10.1186/s12859-020-3541-7 |
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