Test for differential expression

Now that you have defined a design matrix and a contrasts matrix, you can test for differential expression due to doxorubicin treatment in the two types of mice.

Diese Übung ist Teil des Kurses

Differential Expression Analysis with limma in R

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Anleitung zur Übung

The ExpressionSet object eset with the doxorubicin data, the design matrix design, and the contrasts matrix cm have been loaded in your workspace. The limma package is already loaded.

Fit the model coefficients with lmFit.
Fit the contrasts with contrasts.fit.
Calculate the t-statistics with eBayes.
Summarize the results with decideTests and vennDiagram.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# Fit the model
fit <- ___(eset, ___)

# Fit the contrasts
fit2 <- ___(fit, contrasts = ___)

# Calculate the t-statistics for the contrasts
fit2 <- ___(fit2)

# Summarize results
results <- ___(fit2)
summary(results)

# Create a Venn diagram
___(results)

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