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DECODE: deep learning-based common deconvolution framework for various omics data

AI BRIEFING

  • A new deep learning-based framework called DECODE is presented for deconvolution of omics data.
  • DECODE can be applied to various types of omics data, including transcriptomics, proteomics, and metabolomics.
  • The framework can deconvolute data for both cell types and cell states, offering a universal approach to data analysis.
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