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SCAT

A novel tool package for single-cell RNA sequencing analysis with graph theory and deep networks. It consits of two-step analysis:

1. ReadsImpute

Accurate quantification of transcript for scRNA-seq with read imputation.

Refer to https://github.com/xuyungang/Guitar for source code and manual.

2. scIGANs

recover drop-out events in scRNA-seq using Generative Adversarial Networks (GANs)

Refer to https://github.com/xuyungang/scIGANs for source code and manual.

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A novel tool package for single-cell RNA sequencing analysis with graph theory and deep networks

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