A versatile informative diffusion model for single-cell AT AC-seq data generation and analysis Lei Huang City University of Hong Kong Massachusetts Institute of Technology Lei Xiong

Neural Information Processing Systems 

The amplification process in scA T AC-seq experiments often introduces noise due to dropout events, which results in extreme sparsity that hinders accurate analysis.

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