Description Usage Arguments Value
Given an omic summarized by "summarizeToBinaryEvents" extract the most important features.
1 2 | extractSummaryFromPCA(omic, moduleCox, loadThr = 0.6, atleast = 1,
minprop = 0.1)
|
omic |
a summarized omic |
moduleCox |
the coxObj of the interesting module |
loadThr |
the thr value to select the most influent features according to the loading |
atleast |
the minimum number of gene to retrieve |
minprop |
the minimal proportion of cutp |
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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