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Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses
We present PEER (probabilistic estimation of expression residuals), a software package implementing statistical models that improve the sensitivity and interpretability of genetic associations in population-scale expression data. This approach builds on factor analysis methods that infer broad varia...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3398141/ https://ncbi.nlm.nih.gov/pubmed/22343431 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nprot.2011.457 |
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