scRNAtools-package: Single Cell RNA Sequencing Data Analysis Tools

In scRNAtools: Single Cell RNA Sequencing Data Analysis Tools

Description

We integrated the common analysis methods utilized in single cell RNA sequencing data, which included cluster method, PCA, the filter of differentially expressed genes, pathway enrichment analysis and correlated analysis methods.

Author(s)

Qian Yang Maintainer: Qian Yang <[e-mail]>

Examples

####Here list three main function, cluster, PCA and t-SNE####
####cluster####
data(example1);##Example data in this package.
k<-6;##set K based on your own requirement.
scRNAtools_cluster(example1,k)
####PCA####
data(example1)
data(types)
pdf(file=file.path(tempdir(), "PCA_result-R.pdf"))##Save the figures of PCA results.
scRNAtools_pca(example1,types)
dev.off()
####t-SNE#####
data(exam)
scRNAtools_tsne(exam)

####Gene expression###
data(example)
types<-"1"
num<-0.8
scRNAtools_Geneexp(example,types,num)

scRNAtools documentation built on May 2, 2019, 2:43 a.m.