Fig. 3: Methods of multi-omics data integration.
From: Computational frameworks transform antagonism to synergy in optimizing combination therapies
This figure presents various methods for integrating multi-omics data, including kernel regression, machine learning algorithms, graph network approaches, and simulation-based techniques. Each method offers unique applications and advantages in the context of drug synergy and antagonism prediction. This figure was created based on the tools provided by Biorender.com (accessed on 4/9/2024).
