clusterProbability,celda_C-method {celda} | R Documentation |
Calculates the conditional probability of each cell belonging to each subpopulation given all other cell cluster assignments in a 'celda_C()' result.
## S4 method for signature 'celda_C' clusterProbability(counts, celdaMod, log = FALSE, ...)
counts |
Integer matrix. Rows represent features and columns represent cells. This matrix should be the same as the one used to generate 'celdaMod'. |
celdaMod |
Celda object of class 'celda_C'. |
log |
Logical. If FALSE, then the normalized conditional probabilities will be returned. If TRUE, then the unnormalized log probabilities will be returned. Default FALSE. |
... |
Additional parameters. |
A list containging a matrix for the conditional cell subpopulation cluster probabilities.
'celda_C()' for clustering cells
data(celdaCSim, celdaCMod) clusterProb <- clusterProbability(celdaCSim$counts, celdaCMod)