predictPatientLabels: assign patient class when ranked by multiple GM predictors

In BaderLab/netDx: Network-based patient classifier

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)

BaderLab/netDx documentation built on Sept. 26, 2021, 9:13 a.m.