tnsCoxInteraction,TNS-method {RTNsurvival} | R Documentation

## Cox regression analysis for dual regulons

### Description

Cox regression analysis for dual regulons, including the interaction term.

### Usage

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

### Arguments

`tns` | A TNS object with regulons used to compute the dual regulons.
`stepFilter` | A single logical value specifying to use a step-filter algorithm, testing dual regulons that have at least one significant predictor in the 'tnsCox' 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

Cox hazard models and statistics.

An updated TNS-class object containing Cox regression models for all given duals

### Examples

    # load survival data
    data(survival.data)

    # load TNI-object
    data(stni, package = "RTN")

    # perform survival analysis for regulons
    stns <- tni2tnsPreprocess(stni, survivalData = survival.data,
    time = 1, event = 2)
    stns <- tnsGSEA2(stns)

    # run Cox regression for dual regulons
    stns <- tnsCoxInteraction(stns, stepFilter = FALSE)
    tnsGet(stns, "coxInteractionTable")

[Package RTNsurvival version 1.12.2 Index]