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

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

DECODE is a universal deconvolution framework for both cell types and cell states that can be applied to transcriptomic, proteomic and metabolomic data.

Data preprocessing First, single-cell matrices for transcriptomics, proteomics and metabolomics are generated from the raw data. The single-cell transcriptomics data undergo additional preprocessing… [+29041 chars]