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.

Это упражнение является частью курса

RNA-Seq with Bioconductor in R

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.

Попробуйте выполнить это упражнение, дополнив этот пример кода.

# Extract the results of the differential expression analysis
smoc2_res <- results(___, 
                ___ = ___, 
                alpha = ___)