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DESeq2 significant results

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Now let's extract the significant results! Assume that we have the extracted results from the previous exercise, smoc2_res.

This exercise is part of the course

RNA-Seq with Bioconductor in R

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Exercise instructions

  • Save the results, smoc2_res, as a data frame using the data.frame() function on the results object.

  • Extract the significant genes with p-adjusted values less than 0.05 (the alpha value) using the subset() function.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Save results as a data frame
smoc2_res_all <- ___(___)

# Subset the results to only return the significant genes with p-adjusted values less than 0.05
smoc2_res_sig <- ___(___, ___ < ___)
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