clusterProbability.celda_CG: Conditional probabilities for cells and features from a...

In compbiomed/celda: CEllular Latent Dirichlet Allocation

Description

Calculates the conditional probability of each cell belonging to each subpopulation given all other cell cluster assignments as well as each feature belonging to each module given all other feature cluster assignments in a 'celda_CG()' result.

Usage

## S3 method for class 'celda_CG'
clusterProbability(counts, celda.mod, 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 'celda.mod'.
celda.mod	Celda object of class 'celda_CG'.
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 and feature cluster probabilities.

See Also

'celda_CG()' for clustering features and cells

Examples

cluster.prob = clusterProbability(celda.CG.sim$counts, celda.CG.mod)

compbiomed/celda documentation built on May 25, 2019, 3:58 a.m.