MIA_analysis: Title To integrate the scRNAseq and ST datasets, MIA method...

In wangjiaxuan666/Spat: Spatial gene expresion data analysis workflow which can brings convenient integration scripts and shortcut channels to other packages.

Title To integrate the scRNAseq and ST datasets, MIA method can analysis proceeds by first delineating sets of cell type-specific and tissue region-specific genes and then determining whether their overlap is higher (enrichment) or lower (depletion) than expected by chance.

Description

Title To integrate the scRNAseq and ST datasets, MIA method can analysis proceeds by first delineating sets of cell type-specific and tissue region-specific genes and then determining whether their overlap is higher (enrichment) or lower (depletion) than expected by chance.

Usage

MIA_analysis(sc_object, sp_object, sc_diff, sp_diff)

Arguments

sc_object	the seurat scRNA object
sp_object	the seurat scRNA object or spatial object
sc_diff	the different expression result of seurat analysis
sp_diff	the different expression result of seurat analysis

Value

data

Examples

# d = MIA_analysis(sc_object = stereo_smn, sp_object = stereo, sc_diff = sc_diff, sp_diff = sp_diff)

wangjiaxuan666/Spat documentation built on Jan. 4, 2023, 8:35 a.m.