predictScoreFDR: Predict score given FDR
In protViz/TargetDecoyFDR: Compute False Discovery Rates Given Score and Target Decoy Information
Description
Usage
Arguments
Examples
Description
Predict score given FDR
Usage
1
predictScoreFDR(fdrObj, qValue = 1, method = "SimpleFDR")
Arguments
fdrObj
object generated by computeFDR
qValue
false discovery rate in percent, default 1 percent
method
either FPR or SimpleFDR, default is SimpleFDR
Examples
1
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3
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5
data(fdrSample)
fdr1<-computeFDRwithID(fdrSample$score, fdrSample$proteinID, larger_better = FALSE)
predictScoreFDR(fdr1)
fdr2<-computeFDRwithID(fdrSample$score2, fdrSample$proteinID, larger_better = TRUE)
predictScoreFDR(fdr2)
protViz/TargetDecoyFDR documentation built on May 26, 2019, 9:37 a.m.
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Description Usage Arguments Examples
Description
Predict score given FDR
Usage
1 | predictScoreFDR(fdrObj, qValue = 1, method = "SimpleFDR")
|
Arguments
fdrObj |
object generated by computeFDR |
qValue |
false discovery rate in percent, default 1 percent |
method |
either FPR or SimpleFDR, default is SimpleFDR |
Examples
1 2 3 4 5 | data(fdrSample)
fdr1<-computeFDRwithID(fdrSample$score, fdrSample$proteinID, larger_better = FALSE)
predictScoreFDR(fdr1)
fdr2<-computeFDRwithID(fdrSample$score2, fdrSample$proteinID, larger_better = TRUE)
predictScoreFDR(fdr2)
|
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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