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vignettes/pipeML.Rmd
@@ -255,7 +255,7 @@ colnames(features_all) <- paste0("Feature", 1:15)
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```
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Perform LODO analysis
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-```{r}
+```{r, eval = FALSE}
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prediction = list()
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i = 1
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for (cohort in unique(traitData$Cohort)) {
@@ -309,7 +309,7 @@ for (cohort in unique(traitData$Cohort)) {
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For plotting we will make use of our `get_curves` function adapted in a case for multiple cohorts.
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metrics = list()
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auroc = c()
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auprc = c()
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