Create a boxplot with an ExpressionSet object
Now that you've combined all the experimental data into one ExpressionSet object, it is more convenient to subset the features and samples. In this exercise, you'll once again create a boxplot to visualize one gene, but this time also subset the samples that are included in the plot.
Este exercício faz parte do curso
Differential Expression Analysis with limma in R
Instruções do exercício
The ExpressionSet eset has been loaded in your workspace.
Subset
esetto only the first 10 samples (columns).Create a boxplot of the 1000th gene (i.e. row) in
eset_subusing the accessor functionsexprs,pData, andfData.
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Subset to only include the first 10 samples (columns)
eset_sub <- eset[___]
# Check the dimensions of the subset
dim(eset_sub)
# Create a boxplot of the 1000th gene in eset_sub
boxplot(___(eset_sub)[___, ] ~ ___(eset_sub)[, "Disease"],
main = ___(eset_sub)[___, "symbol"])