Single Cell RNA Sequencing Data Analysis Tools
Single Cell RNA Sequencing Data Analysis Tools
Cluster section
Correlation analysis
Present correlation index in figure
Identification of differentially expressed genes
Present the expression of two genes
Present gene expression
Expressed genes in scRNA sequencing data
Present gene expression
Construction of interactive network in scRNA sequencing data
PCA analysis
3D PCA analysis
Pathway enrichment analysis
t-SNE analysis
We integrated the common analysis methods utilized in single cell RNA sequencing data, which included cluster method, principal components analysis (PCA), the filter of differentially expressed genes, pathway enrichment analysis and correlated analysis methods.