Optional 1
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,noah,NovaArchSys,30.09.2022 12:27,file:///home/noah/.config/libreoffice/4;
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,noah,NovaArchSys,30.09.2022 12:52,file:///home/noah/.config/libreoffice/4;
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@ -138,4 +138,11 @@ top_genes <- as.character(ttest_allgene.sorted[1:top_cutoff,1])
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write.table(top_genes, sep="\t", file="", quote=F, row.names=F, col.names=F)
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#### Optional 1: Identify Outliers
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#### Optional 1: Identify Outliers
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mddCorr<-cor(GxS.covfilter) # distance based on correlation
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d <- sqrt(1-mddCorr)
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dim(d)
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rownames(d)
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mddTree = hclust(as.dist(d))
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mddTree$labels <- phenos.df$X
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plot(mddTree)
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