celdaProbabilityMap,celda_C-method {celda} | R Documentation

## Probability map for a celda_C model

### Description

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

### Usage

    ## S4 method for signature 'celda_C'
    celdaProbabilityMap(counts, celdaMod, level = c("sample"), ...)

### 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'.
`level` | Character. 'sample' will display the absolute probabilities and relative normalized abundance of each cell population in each sample. Default 'sample'.
`...` | Additional parameters.

### Value

A grob containing the specified plots

### See Also

'celda_C()' for clustering cells

### Examples

    data(celdaCSim, celdaCMod)
    celdaProbabilityMap(celdaCSim$counts, celdaCMod)

[Package celda version 1.3.4 Index]