749-DECODE: A Universal Multiomics Deconvolution Framework

DECODE is introduced as a versatile deep learning framework designed to estimate cell-type and cell-state abundances across diverse biological datasets. Unlike previous algorithms limited to specific data types, this tool functions as a universal deconvolution solution for transcriptomic, proteomic, and metabolomic profiles. The system employs adversarial training to eliminate batch effects and co...去小宇宙查看完整单集简介
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