Description Usage Arguments Value Note Author(s) Examples
Each of the analysis methods returns an adjusted p-value (corrected for multiple testing) as well as a fold change (Wilcox, DESeq2) or gene rank (MAGeCK). Therefore the -log10 p-value can be plotted against the gene names with 'carpools.waterfall.pval':
1 |
type |
This indicates which kind of analysis method was used for p-value calculation. *Default* NULL *Values* "mageck", "deseq2", "wilcox" |
dataset |
Result from either 'stat.wilcox', 'stat.DEseq' or 'stat.mageck'. *Default* NULL *Values* Result from either 'stat.wilcox', 'stat.DEseq' or 'stat.mageck' |
pval |
The significance value set for the analysis which is to be plotted. *Default* 0.05 *Values* numeric |
mageck.type |
Only for plotting p-value calculate by MAGeCK. Indicates whether enriched ("pos") or depleted ("neg") genes are used. *Default* "pos" *Values* "pos", "neg" |
log |
-log10 of the p-valiues is plotted if set to TRUE. *Default* TRUE *Values* TRRUE, FALSE (boolean) |
Return a generic plot.
none
Jan Winter
1 2 3 4 5 6 7 8 9 | data(caRpools)
data.mageck = stat.mageck(untreated.list = list(CONTROL1, CONTROL2),
treated.list = list(TREAT1,TREAT2), namecolumn=1, fullmatchcolumn=2,
norm.fun="median", extractpattern=expression("^(.+?)(_.+)"),
mageckfolder=NULL, sort.criteria="neg", adjust.method="fdr",
filename = "TEST" , fdr.pval = 0.05)
carpools.waterfall.pval(type="mageck", dataset=data.mageck, pval=0.05, log=TRUE)
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