extractSummaryFromPCA: Extract Summary PCA from MultiOmics Objects

Description Usage Arguments Value

Description

Given an omic summarized by "summarizeToBinaryEvents" extract the most important features.

Usage

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extractSummaryFromPCA(omic, moduleCox, loadThr = 0.6, atleast = 1,
  minprop = 0.1)

Arguments

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

Value

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


cavei/MOSClip documentation built on May 12, 2019, 5:22 p.m.