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

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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 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

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. 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.