celdaProbabilityMap.celda_CG: Probability map for a celda_CG model

In compbiomed/celda: CEllular Latent Dirichlet Allocation

Description

Renders probability and relative expression heatmaps to visualize the relationship between features and cell populations or cell populations and samples.

Usage

## S3 method for class 'celda_CG'
celdaProbabilityMap(counts, celda.mod,
  level = c("cell.population", "sample"), ...)

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'.
level	Character. One of 'cell.population' or 'sample'. 'cell.population' will display the absolute probabilities and relative normalized expression of each module in each cell population. 'sample' will display the absolute probabilities and relative normalized abundance of each cell population in each sample. Default 'cell.population'.
...	Additional parameters.

Value

A grob containing the specified plots

See Also

'celda_CG()' for clustering features and cells

Examples

celdaProbabilityMap(celda.CG.sim$counts, celda.CG.mod)

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