Figure 2
From: The biomarkers’ landscape of post-COVID-19 patients can suggest selective clinical interventions
Orthogonal projections to latent structures discriminant analysis (OPLS-DA) of EBC samples from post-COVID patients and controls. Scores plot showing the degree of separation of the model between post-COVID (red circles) and controls (blue circles). The model presents strong regression (95%, CV-ANOVA p < 2.3 × 10−12) and high-quality parameters (R2 = 81% and Q2 = 87%). The labels t[1] and to[1] along the axes represent the scores (the first 2 partial least-squares components) of the model, which are sufficient to build a satisfactory classification model.
