Test for differential expression between 2 groups
Now that you have an ExpressionSet object and a design matrix, you can fit and test your model with limma.
Este exercício faz parte do curso
Differential Expression Analysis with limma in R
Instruções do exercício
The ExpressionSet object eset with the leukemia data and the design matrix you just created (design) have been loaded in your workspace.
Fit the model coefficients with
lmFit.Calculate the t-statistics with
eBayes.Summarize the results with
decideTests.Since it doesn't make sense to test the intercept term, specify the coefficient
"Diseasestable"when runningdecideTests.
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Load package
library(limma)
# Fit the model
fit <- ___(eset, ___)
# Calculate the t-statistics
fit <- ___(fit)
# Summarize results
results <- ___(fit[, "___"])
summary(results)