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 ejercicio forma parte del curso
Differential Expression Analysis with limma in R
Instrucciones del ejercicio
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.
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
# Load package
library(limma)
# Fit the model
fit <- ___(eset, ___)
# Calculate the t-statistics
fit <- ___(fit)
# Summarize results
results <- ___(fit[, "___"])
summary(results)