erccROC: Produce Receiver Operator Characteristic (ROC) Curves and AUC...

In arcolombo/Rccdashboard: Assess Differential Gene Expression Experiments with ERCC Controls

Description

Produce Receiver Operator Characteristic (ROC) Curves and AUC statistics

Usage

erccROC(exDat)

Arguments

exDat

list, contains input data and stores analysis results

Examples

data(SEQC.Example)

exDat <- initDat(datType="array", isNorm=FALSE, 
                 exTable=UHRR.HBRR.arrayDat,
                 filenameRoot="testRun", sample1Name="UHRR",
                 sample2Name="HBRR", erccmix="RatioPair", 
                 erccdilution = 1, spikeVol = 50, 
                 totalRNAmass = 2.5*10^(3), choseFDR=0.01)
                 
exDat <- est_r_m(exDat)
                  
exDat <- dynRangePlot(exDat)

exDat <- geneExprTest(exDat)

exDat <- erccROC(exDat)

exDat$Figures$rocPlot

arcolombo/Rccdashboard documentation built on May 10, 2019, 12:49 p.m.