clusterProbability,celda_G-method {celda}R Documentation

Conditional probabilities for features in modules from a Celda_G model

Description

Calculates the conditional probability of each feature belonging to each module given all other feature cluster assignments in a 'celda_G()' result.

Usage

## S4 method for signature 'celda_G'
clusterProbability(counts, celdaMod, log = FALSE,
  ...)

Arguments

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.

Value

A list containging a matrix for the conditional cell cluster probabilities.

See Also

'celda_G()' for clustering features

Examples

data(celdaGSim, celdaGMod)
clusterProb <- clusterProbability(celdaGSim$counts, celdaGMod)

[Package celda version 1.0.0 Index]