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fixed some bugs with the column order and revised instructions
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stat-R_2020/evaluation-m3-2020/NOM-PRENOM_evaluation-m3-2020.Rmd

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@@ -70,7 +70,7 @@ options(scipen = 12) ## Max number of digits for non-scientific notation
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#### Just for the trainer: if the solution file exists, load it ####
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solutionFile <- "van-Helden-Jacques_evlaluation-m3_solutions.R"
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if (file.exists(solutionFile)) {
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read_chunk(solutionFile)
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# read_chunk(solutionFile)
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}
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```
@@ -304,7 +304,7 @@ The expression file contains `r nrow(BIC.expr)` rows (genes) x `r ncol(BIC.expr
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The sample description table contains `r nrow(BIC.sample.classes)` rows (samples) x `r ncol(BIC.sample.classes)` columns (description fields). The first column indicates the cancer type, and the three following one indicate the values (positive/negative) for three marker genes used as diagnostic markers for the cancer type (*ER1*, *PR1* et *Her2*).
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```{r}
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kable(head(BIC.sample.classes, n = 10), caption = "First rows of the sample description table. ")
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kable(head(BIC.sample.classes, n = 5), caption = "First rows of the sample description table. ")
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```
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@@ -559,7 +559,8 @@ Interpret the results: do the tested parameters affect a lot the performances (a
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Comment the general assignment of the unclassified samples to the different classes. Analyse the relationship between the immuno markers and the predicted classes.
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## A general conclusion and perspectives
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****************************************************************
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## General conclusion and perspectives
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(a few sentences, no more)
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