Gene input

Plot size

Note: Set these values to 600 when using a laptop. Please click the submit button after you change the figure size.

Plot parameters

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Significance


                      
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scDVA

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.

Dataset

Lei, Z. et al. Combined Single-Cell Analyses Reveal Distinct Mechanisms of Myeloid-Targeted Immunotherapies.

GEPIA2

Please try GEPIA2 to analyze the bulk RNA-seq data from the TCGA and GTEx projects.

Contact us

If any question about the use of scDVA or find any bug, please contact us: liziyie@pku.edu.cn

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Load data

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.