get_expression_info: get_expression_info

In saeyslab/muscatWrapper: Wrapper functions around muscat for differential expression analysis of multi-sample multi-condition scRNAseq datasets

get_expression_info

Description

get_expression_info Calculate the average and fraction of expression of each gene per sample and per group. Under the hood, the following functions are used: 'get_avg_frac_exprs_abund'.

Usage

get_expression_info(sce, sample_id, group_id, celltype_id, covariates = NA)

Arguments

sce	SingleCellExperiment object of the scRNAseq data of interest.
sample_id	Name of the meta data column that indicates from which sample/patient a cell comes from (in sce)
group_id	Name of the meta data column that indicates from which group/condition a cell comes from (in sce)
celltype_id	Name of the column in the meta data of sce that indicates the cell type of a cell.
covariates	NA if no covariates should be corrected for. If there should be corrected for covariates, this argument should be the name(s) of the columns in the meta data that indicate the covariate(s).

Value

List containing data frames with average and fraction of expression per sample and per group.

Examples

## Not run: 
library(dplyr)
sample_id = "tumor"
group_id = "pEMT"
celltype_id = "celltype"
celltype_info = get_expression_info(sce = sce, sample_id = sample_id, group_id = group_id, celltype_id =  celltype_id)

## End(Not run)

saeyslab/muscatWrapper documentation built on March 11, 2023, 6:14 p.m.