scRNAtools_DEGsA: Identification of differentially expressed genes
In scRNAtools: Single Cell RNA Sequencing Data Analysis Tools

Description Usage Arguments Details Author(s) Examples

Users can identify differentially expressed genes between two type of cells based on fold change value.

1	scRNAtools_DEGsA(example, types_all, type1, type2, num)

`example`	scRNA sequencing data with header.
`types_all`	Cell types in the example data.
`type1`	Cell type one.
`type2`	Cell type two.
`num`	Threshold value of expressed genes in appointed cell types. For example, we set 0.8 in example section.

The output data is the fold change value of differentially expressed genes.

Qian Yang

data(example)
data(types)
type1<-"No malignant"
type2<-"Malignant"
num<-0.8;###type1 Vs type2
pdf(file=file.path(tempdir(), "DEGs.pdf"))
scRNAtools_DEGsA(example,types_all,type1,type2,num)
dev.off()