Calculate the log-likelihood for cell population and feature module cluster assignments on the count matrix, per celda model.
logLikelihood(x, celdaMod, useAssay = "counts", altExpName = "featureSubset") # S4 method for SingleCellExperiment,ANY logLikelihood(x, useAssay = "counts", altExpName = "featureSubset") # S4 method for matrix,celda_C logLikelihood(x, celdaMod) # S4 method for matrix,celda_G logLikelihood(x, celdaMod) # S4 method for matrix,celda_CG logLikelihood(x, celdaMod)
x | A SingleCellExperiment object returned by
celda_C, celda_G, or celda_CG, with the matrix
located in the |
---|---|
celdaMod | celda model object. Ignored if |
useAssay | A string specifying which assay slot to use. Default "counts". |
altExpName | The name for the altExp slot to use. Default "featureSubset". |
The log-likelihood of the cluster assignment for the provided SingleCellExperiment.
`celda_C()` for clustering cells
data(sceCeldaC, sceCeldaCG) loglikC <- logLikelihood(sceCeldaC) loglikCG <- logLikelihood(sceCeldaCG)