DECODE: deep learning-based common deconvolution framework for various omics data
PUBLISHED Tuesday, March 3, 2026 · Yadong Wang
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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