View source: R/summarizeResults.DESeq2.r
summarizeResults.DESeq2 | R Documentation |
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"), log2FClim = NULL, padjlim = NULL, ggplot_theme = theme_light() )
out.DESeq2 |
the result of |
group |
factor vector of the condition from which each sample belongs |
independentFiltering |
|
cooksCutoff |
outliers detection threshold (TRUE to let DESeq2 choosing it or FALSE to disable the outliers detection) |
alpha |
significance threshold to apply to the adjusted p-values |
col |
colors for the plots |
log2FClim |
numeric vector containing both upper and lower y-axis limits for all the MA-plots produced (NULL by default to set them automatically) |
padjlim |
numeric value between 0 and 1 for the adjusted p-value upper limits for all the volcano plots produced (NULL by default to set them automatically) |
ggplot_theme |
ggplot2 theme function ( |
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
Hugo Varet
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