Note: Set larger values when using external monitor. 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 of Zemin Zhang's lab, Peking University.
Cheng, S.*, Li, Z.*, et al., 2020 A pan-cancer single-cell landscape of tumor-infiltrating myeloid cells
If any question about the use of scDVA or find any bug, please contact us: firstname.lastname@example.org
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.