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.

แบบฝึกหัดนี้เป็นส่วนหนึ่งของหลักสูตร

Differential Expression Analysis with limma in R

คำแนะนำการฝึกหัด

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 running decideTests.

แบบฝึกหัดเชิงโต้ตอบแบบลงมือทำ

ลองทำแบบฝึกหัดนี้โดยเติมโค้ดตัวอย่างนี้ให้สมบูรณ์

# Load package
library(limma)

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

# Calculate the t-statistics
fit <- ___(fit)

# Summarize results
results <- ___(fit[, "___"])
summary(results)

แก้ไขและรันโค้ด