tnsKmInteraction,TNS-method {RTNsurvival} | R Documentation

## Kaplan-Meier analysis for dual regulons

### Description

Kaplan-Meier analysis for dual regulons, assessing the interaction between regulons.

### Usage

    ## S4 method for signature 'TNS'
    tnsKmInteraction(tns, stepFilter = TRUE, pValueCutoff = 0.05, verbose = TRUE)

### Arguments

`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).

### Value

Results from 'survfit' and 'survdiff', including log-rank statistics.

### Examples

    # 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")

[Package RTNsurvival version 1.12.2 Index]