Description Usage Arguments Value
Given an omic summarized by "summarizeToBinaryEvents" extract the most important features.
1 2 | extractSummaryFromNumberOfEvents(omic, moduleCox, n = 3, minprop = 0.1,
labels = c("few", "many"))
|
omic |
a summarized omic |
moduleCox |
the coxObj of the interesting module |
n |
maximum number of features to retrieve |
minprop |
the minimal proportion of cutp |
labels |
the category labels |
Meant for internal use only. The summary for omic summarized using clusters
sigModule |
the original data for significant features |
discrete |
the discrete version of the significant covariates converted (when needed) into the discrete version |
subset |
data.frame(row.names=names(topGenes), metClust=topGenes) |
covsConsidered |
the name of the considered omic |
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