Summarize DESeq2 analysis: diagnotic plots, dispersions plot, summary of the independent filtering, export results...
summarizeResults.DESeq2(out.DESeq2, group, independentFiltering = TRUE,
cooksCutoff = TRUE, alpha = 0.05, col = c("lightblue", "orange",
"MediumVioletRed", "SpringGreen"))
the result of run.DESeq2()
factor vector of the condition from which each sample belongs
TRUE
or FALSE
to perform the independent filtering or not
outliers detection threshold (TRUE to let DESeq2 choosing it or FALSE to disable the outliers detection)
significance threshold to apply to the adjusted p-values
colors for the plots
A list containing: (i) a list of data.frames
from exportResults.DESeq2()
, (ii) the table summarizing the independent filtering procedure and (iii) a table summarizing the number of differentially expressed features