Sentence examples for sample and predict from inspiring English sources

With this information it is possible to infer the history of the sample and predict its behaviour.

Modeling approaches can be used to evaluate the most appropriate scale over which to sample and predict pathogen and HAB concentrations based on their variability in time and space.

While instead CO is the minority reactant in our experiments, the obtained concentration profiles are nevertheless in good agreement with the calculated oxygen pressure profiles presented by Matera et al. They reported on different CO pressures at the edges of the sample and predict a decrease of approximately 90% of the minority species close to the catalyst surface center.

On the other hand, if all or majority of samples are scattered around the unit slope trend line, then (FZI) value from the intercept differs greatly from (FZI) arithmetic average of these sample, and predicted permeability is far from measured one, and the error between them is great.

During LOOCV, each sample in the dataset was used as a test sample and predicted based on the model trained with the other samples.

Here, each sample was withheld in turn as a "new" sample and predicted using a model parametrized with the remainder of the predictor data (X – 1 row).

We corrected for both effects by fitting a linear model for each sample and predicting the expected DNA methylation differences for each region type given the DNA methylation level among the control samples and the CpG content.

One could compare, for example, drug treated samples to untreated samples and predict pathways targeted by the compound.

In this chapter, we describe applications of this "sample, model, and predict" approach and outline methods for designing chimera sample sets that enable efficient construction of models to identify useful sequence elements.

A key feature of SCHEMA chimera families is their amenability to a "sample, model, and predict" operation that allows one to characterize members of a small chimera sample set and use those data to construct models that accurately predict the properties of every member of the family.

Furthermore, we have identified additional 496 genes (830 pairs) potentially targeted by 79 significant microRNAs out of 204 using three cutoff criteria, i.e., false discovery rate (FDR) < 0.1, opposite correlation coefficient between the tumor and normal samples, and predicted by at least one of three target prediction databases.