Note: Set these values to 600 when using a laptop. Please click the submit button after you change the figure size.
We developed this interactive web server scDVA (short for single cell RNA-seq data visualization and analyzation) for users to explore and analyze the single cell RNA-seq data.
To use scDVA with your own data, please visit scDVA in GitHub.
This tool is developed by Ziyi Li, Tao Wang of Zemin Zhang's lab, Peking University.
Lei, Z. et al. Combined Single-Cell Analyses Reveal Distinct Mechanisms of Myeloid-Targeted Immunotherapies.
Please try GEPIA2 to analyze the bulk RNA-seq data from the TCGA and GTEx projects.
If any question about the use of scDVA or find any bug, please contact us: email@example.com
Note: please select one or more dataset(s) to load.
Select a dataset
Subset the dataset
Note: Please click the submit button in 'Gene Input' box after you subset the dataset.