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The mixture components with the highest toxicity contribute most or even dominate the toxicity of mixtures in terms of toxic units [4].

In the cluster-based approach, the distribution of the observation is modeled by a spectral GMM with M mixture components with full covariance.

It may be possible to determine lower-proportion mixture components with confidence, but this study did not generate the required data to do so.

To help visualize the fitted mixture model, we simulated 10 counts from the fitted folded Skellam mixture where we represented different mixture components with different colors (Fig.  1).

The term mixture model derives from the interpretation of the data as being derived from a mixture of different transcripts, the mixture components, with each read originating from one component.

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Step 4: Testing for signal significance We define AEI signals as the count pairs being classified into folded Skellam mixture component with significantly different Poisson means.

Therefore, it is important that the components grouped as a pseudo-component have similar interaction coefficients with important mixture components (those components with higher interaction coefficient and higher impact on the phase behavior).

None of these concepts can predict non-additive (synergistic or antagonistic) interactions where the mixture components interfere with each other, e.g., through their toxico-kinetic or toxico-dynamic behavior.

In most cases, the intensity values of the mixture components diluted with clean air decreased gradually as a function of their dilution, as shown clearly in the top panel of Figure 2. The only exceptions were the cases of 0%and25%5% dilutions in isovaleric acid and the 50%and75%5% dilutions in valeric acid, where no significant change was observed with the change in dilution.

Young female rats were treated for 4 days with individual mixture components, and dose response relationships with altered T4 levels as the end point were recorded.

In this technique, the mixture components are classified with a fuzzy clustering algorithm.

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