clusterProbability,celda_G-method {celda} | R Documentation |
Calculates the conditional probability of each feature belonging to each module given all other feature cluster assignments in a 'celda_G()' result.
## S4 method for signature 'celda_G' 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_G'. |
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 cluster probabilities.
'celda_G()' for clustering features
data(celdaGSim, celdaGMod) clusterProb <- clusterProbability(celdaGSim$counts, celdaGMod)