A joint deep learning model enables simultaneous batch effect correction, denoising, and clustering in single-cell transcriptomics

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Figure 1.
Figure 1.

The workflow of CarDEC. The CarDEC workflow can be summarized in four steps that are depicted here: preprocessing, pretraining, denoising, and optionally, denoising on the count scale.

This Article

  1. Published in Advance May 25, 2021, doi: 10.1101/gr.271874.120 Genome Res. 31: 1753-1766

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