Fig. 3.

Mixtures-based associations between chemical groups and biological responses within the mouse lung, highlighting the impacts of (A) modeling with vs. without chemicals in the green module, and (B) modeling with vs. without random noise, generated as a module of chemical distributions based on random permutations. These values represent quantile g-computation estimates for the change in biological endpoint (ln-scaled) for a one quintile increase in chemical concentration (z-score normalized) in biomass burn condensate samples, summarized as beta coefficients and 95% confidence intervals. Note that significant changes in biological responses are estimated for chemical groups in (A) but not in (B), further supporting the observation of mixtures-based relationships that are unlikely due to chance or dilution effects.