Description Usage Arguments Value
Given a pathway analyzed by MultiOmicsPathwaySurvivalTest it retrieve for each omic the most influent fetures.
1 2 | guessInvolvementPathway(pathway, loadThr = 0.6, n = 3, atleast = 1,
min_prop_pca = 0.1, min_prop_events = 0.1)
|
pathway |
MultiOmicsPathway from a pathway. |
loadThr |
the leading threshold to select genes (PCA only) |
n |
the maximum number of genes to retrive (cluster and binary only) |
atleast |
the minimum number of features to select (PCA only) |
min_prop_pca |
the minimal proportion to compute the pca classes |
min_prop_events |
the minimal proportion to compute the event classes |
For each omic analyzed a list that is the summary for omic summarized using the setted method: pvalues are present only for cluster method.
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) |
pvalues |
Kruskal Wallis pvalues of the selected features |
covsConsidered |
the name of the considered omic |
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