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The relationship is expressed as an equation that predicts a response variable (Tup1 occupancy) from a function of regressor variables (Tup1-Ssn6 recruiting proteins) and parameters.
For the case of complete inactivation of the maternal or paternal allele (k 1 2 = 1 ), the breeder's equation predicts a response double that of the true response.
If selection is for larger γ (i.e. quicker recovery) the SELIRS model predicts a response that consists of the direct effect of animals recovering more quickly, plus an additional component arising from the resulting lower pathogen burden.
It may be that only one of these factors, trabecular bone status, predicts a response to the current antiresorptives which are predominantly active on trabecular bone and the presence of vertebral fractures may be a simple indicator of such a state.
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An alternative to ANN is the use of SVM models to predict a response.
The data generated by a set of experiments can be used to train an ANN to predict a response.
The discovery of stratifiers that predict a response to existing and emerging therapies will enable better use of these treatments.
An ensemble of simulations incorporating model parameter uncertainties is used to predict a response distribution which is then compared to experimental output using appropriate statistical methods.
None of the other analyzed SNPs predicted a response rate.
Given the need for an in-depth interview, we predicted a response rate of 40 50%.
Moreover, a relatively high arterial perfusion of liver metastases may predict a response to chemotherapy.
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CEO of Professional Science Editing for Scientists @ prosciediting.com