Description Usage Arguments Value Examples
View source: R/utils-calculatePvalueWithMutCategoryDistributionMatched7.R
calculate Pvalue With Mut CategoryDistribution Matched
1 2 3 4 5 6 7 8 9 10 11 | calculatePvalueWithMutCategoryDistributionMatched7(
variantTriMutCategory,
backgroundPosVariant,
mutationDistMatrix,
featureDF,
reSampleNum,
replaceFlag = FALSE,
replicationTimingCutOff,
debugFileName,
debugMode = FALSE
)
|
variantTriMutCategory |
variantTriMutCategory data frame |
backgroundPosVariant |
backgroundPosVariant data frame |
mutationDistMatrix |
mutationDistMatrix data frame |
featureDF |
featureDF data frame |
reSampleNum |
number of re-sampling iterations |
replaceFlag |
default is FALSE, whether to replace or not in the sampling process |
replicationTimingCutOff, |
Default is 0.2, a numeric value ranging from 0 to 1 |
debugFileName |
fileName to output debug information |
debugMode |
default is FALSE, TRUE or FALSE |
variantTriMutCategoryParsed data frame
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | #date<-getRunDates(latest=TRUE)
cancerType<-"KIRC"
selectedSampleId<-NA
#worDir<-getwd()
mutSig2CVthreshold<-0.1
rareMutationUpperLimit<-0.3
rareMutationLowerLimit<-0.1
rareMutationFreq<-0.02
#runNetBox2(dataDir,cancerType,
# mutationList,ampGeneList,delGeneList,epiSilencedList,
# mutationFreq,ampGeneFreq,delGeneFreq,epiSilencedFreq,
# pathwayCommonsDb,directed,
# linkerPValThreshold,communityDetectionMethod,
# keepIsolatedNodes,verbose=TRUE)
|
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