scAND – scATAC-seq data Analysis via Network Diffusion

scAND

:: DESCRIPTION

scAND is a python-based package for scalable embedding of massive scATAC-seq data. scAND treats peaks-by-cells matrix as a bipartite network that indicates the accessible relationship between cells and peaks and employs a network diffusion method to alleviate the data sparsity and gather the global information. scAND improves the clustering performance on both simulated and real datasets, and can be applied to data integration.

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::DEVELOPER

Shihua Zhang’s Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux
  • Python

:: DOWNLOAD

scAND

:: MORE INFORMATION

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