get_lfc_celltype: Get log fold change values of genes in cell type of interest

In saeyslab/nichenetr: Modeling Intercellular Communication by Linking Ligands to Target Genes with NicheNet

Get log fold change values of genes in cell type of interest

Description

get_lfc_celltype Get log fold change of genes between two conditions in cell type of interest when using a Seurat single-cell object.

Usage

get_lfc_celltype(celltype_oi, seurat_obj, condition_colname, condition_oi, condition_reference, celltype_col = "celltype")
#'

Arguments

celltype_oi	Name of celltype of interest. Should be present in the celltype metadata dataframe.
seurat_obj	Single-cell expression dataset as Seurat object https://satijalab.org/seurat/.
condition_colname	Name of the column in the meta data dataframe that indicates which condition/sample cells were coming from.
condition_oi	Condition of interest. Should be a name present in the "condition_colname" column of the metadata.
condition_reference	The second condition (e.g. reference or steady-state condition). Should be a name present in the "condition_colname" column of the metadata.
celltype_col	Metadata colum name where the cell type identifier is stored. Default: "celltype". If this is NULL, the Idents() of the seurat object will be considered as your cell type identifier.
...	Additional arguments passed to FindMarkers.

Value

A tbl with the log fold change values of genes. Positive lfc values: higher in condition_oi compared to condition_reference.

Examples

## Not run: 
requireNamespace("dplyr")
seuratObj = readRDS(url("https://zenodo.org/record/3531889/files/seuratObj_test.rds"))
get_lfc_celltype(seurat_obj = seuratObj, celltype_oi = "CD8 T", condition_colname = "aggregate", condition_oi = "LCMV", condition_reference = "SS", celltype_col = "celltype", expression_pct = 0.10)

## End(Not run)

saeyslab/nichenetr documentation built on Sept. 7, 2024, 10:27 a.m.