celltype_mean_expression {BUSseq} | R Documentation

## Obtain the Cell-Type-Specific Mean Expression Levels from the Output of the `BUSseq_MCMC` Function

### Description

The function gives the estimated cell-type-specific mean expression levels in the output `SingleCellExperiment` object.

### Usage

      celltype_mean_expression(sce_BUSseqfit)

### Arguments

`sce_BUSseqfit` | An output `SingleCellExperiment` object by the function `BUSseq_MCMC`.

### Value

`mu.est` | The estimated cell-type-specific mean expression levels, a G by K matrix, whose [g,k] element is the mean expression levels of cell type k on gene g.

### Author(s)

Fangda Song

### References

Song, Fangda, Ga Ming Angus Chan, and Yingying Wei. Flexible experimental designs for valid single-cell RNA-sequencing experiments allowing batch effects correction. Nature communications 11, no. 1 (2020): 1-15.

### Examples

    # "BUSseqfits_example" is an example output
    BUSseqfits_example
    mu.est <- celltype_mean_expression(BUSseqfits_example)

[Package BUSseq version 1.0.0 Index]