Sentence examples for model quantification to from inspiring English sources

To confirm this, we applied CETS model quantification to DNA methylation profiles of three NeuN positive and negative prefrontal cortical samples profiled by Iwamoto et al. on Affymetrix Human Promoter 1.0R arrays.

They require appropriate mathematical modeling and quantification to obtain realistic results when predicting the behavior and reliability of engineering structures and systems.

Moreover, since we restrict on patterns that focus strictly on induced sub-networks where experimental data are available and which are expressed in the cells, we avoid complications from uncertainties and assumptions as seen in detailed, fine-grained model quantification.

A detailed description of the model components and model quantification for the present study is presented in the Appendix.

Two widely different model quantifications were constructed so that both were compatible with the observed HPV risk ratios.

This effect can be accounted for through normalization of radiotracer uptake to metabolite-corrected plasma radiotracer levels, a quick assessment prior to an investment in more rigorous kinetic modeling quantification.

For that purpose, event sequence diagrams (ESD) are being used as a replacement for event trees (ET) to model scenarios, and the quantification of events is possible through a set of quantification models familiar to engineers.

In order to perform an automatic supervision and to reduce the (off-line, laboratory) analysis effort of experts and operators of these substances, chemometric quantification models have to be used.

Hepcidin, a peptide marker of clinical disorders linked to iron metabolism, was used as model to demonstrate peptide quantification potentialities of LC-chip coupled to a nanoelectrospray source ion trap mass spectrometer in an aqueous sample.

A probabilistic graphical model approach to uncertainty quantification for flows in random porous media is introduced.

Common calibration techniques can often lack a rigorous quantification of model sensitivity to parameters and parameter-induced model uncertainty.