Create an ExpressionSet object

Managing 3 different data sets for one experiment is tedious and error-prone, especially if you need to perform any filtering. Combine the 3 data sets from the leukemia experiment into a unified object using the Bioconductor class ExpressionSet.

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Differential Expression Analysis with limma in R

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The expression matrix (x), feature data (f), and phenotype data (p) are loaded in your workspace.

Create a new ExpressionSet object using the function ExpressionSet.
Pass the expression matrix to the assayData argument.
Pass the phenotype data frame to the phenoData argument.
Pass the feature data frame to the featureData argument.

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# Load package
library(Biobase)

# Create ExpressionSet object
eset <- ___(assayData = ___,
                      phenoData = AnnotatedDataFrame(___),
                      featureData = AnnotatedDataFrame(___))

# View the number of features (rows) and samples (columns)
dim(eset)

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