clusterProbability,celda_C-method {celda}R Documentation

Conditional probabilities for cells in subpopulations from a Celda_C model

Description

Calculates the conditional probability of each cell belonging to each subpopulation given all other cell cluster assignments in a 'celda_C()' result.

Usage

## S4 method for signature 'celda_C'
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_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.

Value

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

See Also

'celda_C()' for clustering cells

Examples

data(celdaCSim, celdaCMod)
clusterProb <- clusterProbability(celdaCSim$counts, celdaCMod)

[Package celda version 1.2.4 Index]