Man pages for selectKSigs
Selecting the number of mutational signatures using a perplexity-based measure and cross-validation

calcPMSLikelihoodA function for calculating the log-likelihood from the data...
Calculate_Likelihood_testOutput the maximum potential scale reduction statistic of all...
convertFromTurbo_FRestore the converted parameter F for turboEM
convertFromTurbo_QRestore the converted parameter Q for turboEM
convertToTurbo_FConvert the parameter F so that turboEM can treat
convertToTurbo_QConvert the parameter Q so that turboEM can treat
cv_PMSignatureOutput the maximum potential scale reduction statistic of all...
getBGGet the statsus of using the background signature
getCountsGet the count data in a matrix
getExposuresGet a matrix of mutational exposures of signatures
getFeaturesGet a vector of possible features
getFeatureVecGet a matrix of feature vector list
getKGet the number of signatures
getLLGet the values of loglikelihood
getLogLikelihoodCCalculate the value of the log-likelihood for given...
getSamplelistGet the sample list
getSamplelistGGet the sample list
getSignaturesGet an array of signature feature distributions
getTranscriptionGet the statsus of specifying the transcription bias
select_kth_foldOutput the training data or test data
splitGOutput the maximum potential scale reduction statistic of all...
selectKSigs documentation built on Nov. 8, 2020, 5:38 p.m.