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More specifically, the RAS model includes site-specific substitution rates, modeled as random variables following a gamma distribution.
The ability of the RAS model to predict resistance to cetuximab was tested in mouse xenografts and three independent patient cohorts.
Drug sensitivity correlations between our model and large cell line compendiums were performed.The performance of the RAS model was remarkably robust across three validation datasets.
There is no speedup for the RAS model, as the BLAS libraries are not implemented for calculations under the RAS model.
For the CPN60 dataset simulated under the JTT + RAS model, the general model recovered the same correct topology as the RAS model.
They do so by adjusting the covarion parameters to converge to the RAS model.
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On the other hand, prediction values obtained the testing RA model is slightly better performance than the testing ANN model.
The Risk Analysis (RA) model attempts to simulate reality, thus it is inevitable that there will be simplifying assumptions and idealizations of rather complex processes and phenomena.
The RA model was constructed from computed tomography datasets, taking into account three major characteristics: synovial proliferation, cartilage destruction and ligamentous laxity.
where g, ρ, and λ n,n∈{S1,S2} follow the similar definition as in the OWT-RA model.
Fig. 8 Parameter estimates of the probability-mixing (PM) model and the response-averaging (RA) model fitted to data simulated from both models responding to a stimulus mixture.
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