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exercise day 3 tweaks
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day3/day3-2_differential_gene_expression.qmd

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@@ -279,7 +279,7 @@ contrast.mat <- limma::makeContrasts(ETV6.RUNX1 - PBMMC,
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```
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Firt, we perform TMM normalization using edgeR, and then `limma` can perform the transformation with `voom`, fit the model, compute the contrasts and compute test statistics with `eBayes`:
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First, we perform TMM normalization using edgeR, and then `limma` can perform the transformation with `voom`, fit the model, compute the contrasts and compute test statistics with `eBayes`:
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```{r}
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dge <- edgeR::calcNormFactors(y)

day3/day3-3_enrichment_analysis.qmd

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@@ -34,7 +34,6 @@ Load the following packages:
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#| warning: false
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#| message: false
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library(clusterProfiler)
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library(ggiraph)
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library(enrichplot)
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```
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