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.