dynRangePlot: Produce signal-abundance plot to evaluate dynamic range
In arcolombo/Rccdashboard: Assess Differential Gene Expression Experiments with ERCC Controls
Description
Usage
Arguments
Examples
Description
Produce signal-abundance plot to evaluate dynamic range
Usage
1
dynRangePlot(exDat)
Arguments
exDat
list, contains input data and stores analysis results
Examples
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data(SEQC.Example)
exDat <- initDat(datType="count", isNorm=FALSE, exTable=MET.CTL.countDat,
filenameRoot="testRun", sample1Name="MET",
sample2Name="CTL", erccmix="RatioPair",
erccdilution=1/100, spikeVol=1, totalRNAmass=0.500,
choseFDR=0.1)
exDat <- est_r_m(exDat)
exDat <- dynRangePlot(exDat)
exDat$Figures$dynRangePlot
arcolombo/Rccdashboard documentation built on May 10, 2019, 12:49 p.m.
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Description Usage Arguments Examples
Description
Produce signal-abundance plot to evaluate dynamic range
Usage
1 | dynRangePlot(exDat)
|
Arguments
exDat |
list, contains input data and stores analysis results |
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 | data(SEQC.Example)
exDat <- initDat(datType="count", isNorm=FALSE, exTable=MET.CTL.countDat,
filenameRoot="testRun", sample1Name="MET",
sample2Name="CTL", erccmix="RatioPair",
erccdilution=1/100, spikeVol=1, totalRNAmass=0.500,
choseFDR=0.1)
exDat <- est_r_m(exDat)
exDat <- dynRangePlot(exDat)
exDat$Figures$dynRangePlot
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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