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Using state-of-the-art coma modeling, we evaluated three different Rosetta orbit mission scenarios.
Prior to statistical modeling, we evaluated possible correlation/association among independent variables and found little indication of co-linearity among variables within each model.
Therefore, using logistic regression modeling, we evaluated the influence of single and combined IL-10 and TNFα functional genotypes on the response to antimalarial therapy.
11 Using in silico modeling, we evaluated the genetic and chemical vulnerability of EPSPS and validated the predictions experimentally with the specific inhibitor glyphosate.
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To compare the 2 lactation models, we evaluated the goodness of fit using 6 evaluation criteria.
Using the same model, we evaluated whether a mixture of two antibodies showed higher %TRA (fewer oocysts) than a single antibody, for each mixture condition.
Using simple empirical degradation models, we evaluated the effect of the crystallinity and the hydrophilicity.
By simulating the model, we evaluated the efficacy of MMPi therapy.
Using a computational model, we evaluated the contribution of each factor separately in category encoding.
To execute our model, we evaluated and adjusted the weights for each input.
For each classification model we evaluated several feature selection approaches by using 10-fold-cross-validation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com