tnsKmInteraction,TNS-method {RTNsurvival} | R Documentation |
Kaplan-Meier analysis for dual regulons, assessing the interaction between regulons.
## S4 method for signature 'TNS' tnsKmInteraction(tns, stepFilter = TRUE, pValueCutoff = 0.05, verbose = TRUE)
tns |
A TNS object, which must have passed GSEA2 analysis. |
stepFilter |
A single logical value specifying to use a step-filter algorithm, testing dual regulons that have at least one significant predictor in the 'tnsKM' method (when stepFilter=TRUE) or not (when stepFilter=FALSE). |
pValueCutoff |
An numeric value. The p-value cutoff applied to the results from the previous steps of the analysis pipeline (when stepFilter=TRUE). |
verbose |
A logical value specifying to display detailed messages (when verbose=TRUE) or not (when verbose=FALSE). |
Results from 'survfit' and 'survdiff', including log-rank statistics.
# load survival data data(survival.data) # load TNI-object data(stni, package = "RTN") stns <- tni2tnsPreprocess(stni, survivalData = survival.data, keycovar = c('Grade','Age'), time = 1, event = 2) stns <- tnsGSEA2(stns) # KM analysis for dual regulons # stns <- tnsKmInteraction(stns, stepFilter = FALSE) # tnsGet(stns, "kmInteractionTable")