predictPatientLabels {netDx} | R Documentation

## assign patient class when ranked by multiple GM predictors

### Description

assign patient class when ranked by multiple GM predictors

### Usage

    predictPatientLabels(resSet, verbose = TRUE)

### Arguments

`resSet` | (list) output of getPatientRankings, each key for a different predictor. names(resSet) contain predictor label
`verbose` | (logical) print detailed messages

### Value

data.frame: ID, similarityScore, PRED_CLASS

### Examples

    data(predRes); predClass <- predictPatientLabels(predRes)

[Package netDx version 1.1.4 Index]