Gene input
Plot size
Note: Set larger values when using external monitor. Please click the submit button after you change the figure size.
Plot parameters
![](tumor_types.jpg)
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 of Zemin Zhang's lab, Peking University.
Dataset
Cheng, S.*, Li, Z.*, et al., 2020 A pan-cancer single-cell landscape of tumor-infiltrating myeloid cells
![](Graphical_Abstract.jpg)
Contact us
If any question about the use of scDVA or find any bug, please contact us: liziyie@pku.edu.cn
Please wait...
![](shinysky/busyIndicator/ajaxloaderq.gif)
Load data
Note: Please select one or more dataset(s) to load. The expression matrix of scanorama_corrected dataset has been downsampled.
Select a dataset
Subset the dataset
Note: Please click the submit button in 'Gene Input' box after you subset the dataset.