DESeq2 model - extracting results

NOTE: It may take a bit longer to load this exercise.

After exploring the dispersions and deciding the data fits the DESeq2 model well, we want to extract the results.

Assume all prior steps have been executed, including the creation of the DESeq2 object, dds_smoc2, and running the DESeq() function.

100 XP

Use the results() function to specify the contrast for the comparison using an alpha of 0.05. For the condition of interest, condition, output the results for the fibrosis sample group relative to the normal sample group, so that the normal sample group is the base level.