Fig. 4

Figure 4 (a) part (1): Multi-omics are normalized considering the complete multi-omic space. Figure 4 (a) part (2): For each recurring multi-omic pattern, the multi-omics are normalized considering a small sample filtered from the multi-omic space by a specific pathway of N elements. Then, the global effect vector mov₂ and the local effect vector mov₁ are obtained: both the vectors have the same lenght but different multi-omic normalized values. Figure 4b part (1): The vectors of the global effect (pink) and the local effect (gray) are binary discretized. Figure 4b part (2): In order to consider the global response to treatments, the missing mov₁ oscillations are substituted with the mov₂ oscillations (if they are present). In this example the 4-th oscillation is FALSE (\(a_{1}^{local}\)) on the local vector and is present (\(a_{1}^{global} = TRUE\)) on the global vector. Then, the local effect is updated with the information of the multi-omics that come from the global effect. This procedure is done in steady state conditions and after perturbed by treatments multi-omic values